Sun Feb 16 19:40:26 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 187. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [mpegts @ 0x11e706900] Format mpegts detected only with low score of 2, misdetection possible! [mpegts @ 0x11e706900] Could not detect TS packet size, defaulting to non-FEC/DVHS [in#0/mpegts @ 0x600002b84300] could not find codec parameters Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt. Error opening input files: End of file Sun Feb 16 19:40:31 MST 2025: Transcription complete for conversion_log.txt. Moved MP3 to next step. Sun Feb 16 19:40:32 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x60000158c600] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt. Error opening input files: No such file or directory Sun Feb 16 19:40:34 MST 2025: Transcription complete for conversion_log.txt. Moved MP3 to next step. Sun Feb 16 19:40:55 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/MY DESIGN PROCESS-11_13_2024.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/MY DESIGN PROCESS-11_13_2024.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600001ed0300] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/MY DESIGN PROCESS-11_13_2024.mp3. Error opening input files: No such file or directory Sun Feb 16 19:40:57 MST 2025: Transcription complete for MY DESIGN PROCESS-11_13_2024.mp3. Moved MP3 to next step. Sun Feb 16 19:40:57 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 187. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [mpegts @ 0x144f048d0] Format mpegts detected only with low score of 2, misdetection possible! [mpegts @ 0x144f048d0] Could not detect TS packet size, defaulting to non-FEC/DVHS [in#0/mpegts @ 0x600000908a00] could not find codec parameters Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt. Error opening input files: End of file Sun Feb 16 19:40:59 MST 2025: Transcription complete for conversion_log.txt. Moved MP3 to next step. Sun Feb 16 19:40:59 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/.DS_Store /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/.DS_Store', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 183. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600003d8ca00] Error opening input: Invalid data found when processing input Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/.DS_Store. Error opening input files: Invalid data found when processing input Sun Feb 16 19:41:01 MST 2025: Transcription complete for .DS_Store. Moved MP3 to next step. Sun Feb 16 19:41:01 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600002900a00] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt. Error opening input files: No such file or directory Sun Feb 16 19:41:03 MST 2025: Transcription complete for conversion_log.txt. Moved MP3 to next step. Sun Feb 16 19:41:03 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/.DS_Store /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/.DS_Store', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600001ec4600] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/.DS_Store. Error opening input files: No such file or directory Sun Feb 16 19:41:05 MST 2025: Transcription complete for .DS_Store. Moved MP3 to next step. Sun Feb 16 19:41:21 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Lonliness.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Lonliness.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600002474300] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Lonliness.mp3. Error opening input files: No such file or directory Sun Feb 16 19:41:23 MST 2025: Transcription complete for Lonliness.mp3. Moved MP3 to next step. Sun Feb 16 19:41:27 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/.DS_Store /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/.DS_Store', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 183. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x6000008c8a00] Error opening input: Invalid data found when processing input Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/.DS_Store. Error opening input files: Invalid data found when processing input Sun Feb 16 19:41:29 MST 2025: Transcription complete for .DS_Store. Moved MP3 to next step. Sun Feb 16 19:41:29 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/.DS_Store /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/.DS_Store', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600001c90300] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/.DS_Store. Error opening input files: No such file or directory Sun Feb 16 19:41:31 MST 2025: Transcription complete for .DS_Store. Moved MP3 to next step. Sun Feb 16 19:50:05 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 234. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 Input #0, tty, from '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt': Duration: 00:00:00.12, start: 0.000000, bitrate: 34 kb/s Stream #0:0: Video: ansi, pal8, 640x400, 25 fps, 25 tbr, 25 tbn Output #0, s16le, to 'pipe:': [out#0/s16le @ 0x600000ccc000] Output file does not contain any stream Error opening output file -. Error opening output files: Invalid argument Sun Feb 16 19:50:07 MST 2025: Transcription complete for conversion_log.txt. Moved MP3 to next step. Sun Feb 16 19:50:08 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600002d5ca00] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt. Error opening input files: No such file or directory Sun Feb 16 19:50:10 MST 2025: Transcription complete for conversion_log.txt. Moved MP3 to next step. Sun Feb 16 19:50:47 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Ideation_12_27_2024.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Ideation_12_27_2024.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600000f9c300] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Ideation_12_27_2024.mp3. Error opening input files: No such file or directory Sun Feb 16 19:50:49 MST 2025: Transcription complete for Ideation_12_27_2024.mp3. Moved MP3 to next step. Sun Feb 16 19:50:49 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_12_28_2024_16_58_47.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_12_28_2024_16_58_47.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600001904a00] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_12_28_2024_16_58_47.mp3. Error opening input files: No such file or directory Sun Feb 16 19:50:51 MST 2025: Transcription complete for Audio_12_28_2024_16_58_47.mp3. Moved MP3 to next step. Sun Feb 16 19:50:51 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Anhedonia.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Anhedonia.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x6000026ec600] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Anhedonia.mp3. Error opening input files: No such file or directory Sun Feb 16 19:50:53 MST 2025: Transcription complete for Anhedonia.mp3. Moved MP3 to next step. Sun Feb 16 19:50:53 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Ideation_12_27_2024_17_33_59.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Ideation_12_27_2024_17_33_59.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600003d64600] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Ideation_12_27_2024_17_33_59.mp3. Error opening input files: No such file or directory Sun Feb 16 19:50:55 MST 2025: Transcription complete for Ideation_12_27_2024_17_33_59.mp3. Moved MP3 to next step. Sun Feb 16 19:50:55 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_02_2025_13_08_12.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_02_2025_13_08_12.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600001d98600] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_02_2025_13_08_12.mp3. Error opening input files: No such file or directory Sun Feb 16 19:50:57 MST 2025: Transcription complete for Audio_02_02_2025_13_08_12.mp3. Moved MP3 to next step. Sun Feb 16 19:50:57 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_02_2025_17_18_07.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_02_2025_17_18_07.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x6000015f8600] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_02_2025_17_18_07.mp3. Error opening input files: No such file or directory Sun Feb 16 19:50:59 MST 2025: Transcription complete for Audio_02_02_2025_17_18_07.mp3. Moved MP3 to next step. Sun Feb 16 19:50:59 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_05_2025_11_19_34.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_05_2025_11_19_34.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600002cfc600] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_05_2025_11_19_34.mp3. Error opening input files: No such file or directory Sun Feb 16 19:51:01 MST 2025: Transcription complete for Audio_02_05_2025_11_19_34.mp3. Moved MP3 to next step. Sun Feb 16 19:51:01 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_05_2025_11_49_56.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_05_2025_11_49_56.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x60000132c600] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_05_2025_11_49_56.mp3. Error opening input files: No such file or directory Sun Feb 16 19:51:02 MST 2025: Transcription complete for Audio_02_05_2025_11_49_56.mp3. Moved MP3 to next step. Sun Feb 16 19:51:02 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_05_2025_17_05_57.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_05_2025_17_05_57.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600001c78a00] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_05_2025_17_05_57.mp3. Error opening input files: No such file or directory Sun Feb 16 19:51:04 MST 2025: Transcription complete for Audio_02_05_2025_17_05_57.mp3. Moved MP3 to next step. Sun Feb 16 19:51:04 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_05_2025_17_06_24.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_05_2025_17_06_24.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600003f20a00] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_05_2025_17_06_24.mp3. Error opening input files: No such file or directory Sun Feb 16 19:51:06 MST 2025: Transcription complete for Audio_02_05_2025_17_06_24.mp3. Moved MP3 to next step. Sun Feb 16 19:51:06 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_07_2025_17_01_13.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_07_2025_17_01_13.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600000340600] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_07_2025_17_01_13.mp3. Error opening input files: No such file or directory Sun Feb 16 19:51:08 MST 2025: Transcription complete for Audio_02_07_2025_17_01_13.mp3. Moved MP3 to next step. Sun Feb 16 19:51:08 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_13_2025_14_06_42.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_13_2025_14_06_42.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600003db0a00] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_13_2025_14_06_42.mp3. Error opening input files: No such file or directory Sun Feb 16 19:51:10 MST 2025: Transcription complete for Audio_02_13_2025_14_06_42.mp3. Moved MP3 to next step. Sun Feb 16 19:51:10 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_13_2025_16_58_34.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_13_2025_16_58_34.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600002ac4a00] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_13_2025_16_58_34.mp3. Error opening input files: No such file or directory Sun Feb 16 19:51:12 MST 2025: Transcription complete for Audio_02_13_2025_16_58_34.mp3. Moved MP3 to next step. Sun Feb 16 19:51:12 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_13_2025_16_59_17.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_13_2025_16_59_17.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600002f88600] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_13_2025_16_59_17.mp3. Error opening input files: No such file or directory Sun Feb 16 19:51:14 MST 2025: Transcription complete for Audio_02_13_2025_16_59_17.mp3. Moved MP3 to next step. Sun Feb 16 19:51:14 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_13_2025_17_04_40.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_13_2025_17_04_40.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x60000366ca00] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_13_2025_17_04_40.mp3. Error opening input files: No such file or directory Sun Feb 16 19:51:16 MST 2025: Transcription complete for Audio_02_13_2025_17_04_40.mp3. Moved MP3 to next step. Sun Feb 16 19:51:16 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_13_2025_17_17_39.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_13_2025_17_17_39.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600000e60600] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_13_2025_17_17_39.mp3. Error opening input files: No such file or directory Sun Feb 16 19:51:18 MST 2025: Transcription complete for Audio_02_13_2025_17_17_39.mp3. Moved MP3 to next step. Sun Feb 16 19:51:18 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_08_2025_17_07_18.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_08_2025_17_07_18.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600000d68600] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_08_2025_17_07_18.mp3. Error opening input files: No such file or directory Sun Feb 16 19:51:20 MST 2025: Transcription complete for Audio_02_08_2025_17_07_18.mp3. Moved MP3 to next step. Sun Feb 16 19:51:20 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_08_2025_17_05_00.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_08_2025_17_05_00.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x6000027dc600] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_08_2025_17_05_00.mp3. Error opening input files: No such file or directory Sun Feb 16 19:51:22 MST 2025: Transcription complete for Audio_02_08_2025_17_05_00.mp3. Moved MP3 to next step. Sun Feb 16 19:51:22 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/.DS_Store /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/.DS_Store', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 183. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600003eac600] Error opening input: Invalid data found when processing input Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/.DS_Store. Error opening input files: Invalid data found when processing input Sun Feb 16 19:51:23 MST 2025: Transcription complete for .DS_Store. Moved MP3 to next step. Sun Feb 16 19:51:24 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/.DS_Store /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/.DS_Store', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600002a90600] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/.DS_Store. Error opening input files: No such file or directory Sun Feb 16 19:51:26 MST 2025: Transcription complete for .DS_Store. Moved MP3 to next step. Sun Feb 16 20:06:50 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 234. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 Input #0, tty, from '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt': Duration: 00:00:00.44, start: 0.000000, bitrate: 44 kb/s Stream #0:0: Video: ansi, pal8, 640x400, 25 fps, 25 tbr, 25 tbn Output #0, s16le, to 'pipe:': [out#0/s16le @ 0x6000039080c0] Output file does not contain any stream Error opening output file -. Error opening output files: Invalid argument Sun Feb 16 20:06:53 MST 2025: Transcription complete for conversion_log.txt. Moved MP3 to next step. Sun Feb 16 20:06:54 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x60000002c000] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt. Error opening input files: No such file or directory Sun Feb 16 20:06:55 MST 2025: Transcription complete for conversion_log.txt. Moved MP3 to next step. Sun Feb 16 20:07:33 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 187. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [mpegts @ 0x1276070d0] Format mpegts detected only with low score of 2, misdetection possible! [mpegts @ 0x1276070d0] Could not detect TS packet size, defaulting to non-FEC/DVHS [in#0/mpegts @ 0x6000010e0d00] could not find codec parameters Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt. Error opening input files: End of file Sun Feb 16 20:07:35 MST 2025: Transcription complete for conversion_log.txt. Moved MP3 to next step. Sun Feb 16 20:07:35 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600001d28a00] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt. Error opening input files: No such file or directory Sun Feb 16 20:07:37 MST 2025: Transcription complete for conversion_log.txt. Moved MP3 to next step. Sun Feb 16 20:22:28 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 187. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [mpegts @ 0x132104080] Format mpegts detected only with low score of 2, misdetection possible! [mpegts @ 0x132104080] Could not detect TS packet size, defaulting to non-FEC/DVHS [in#0/mpegts @ 0x60000260c000] could not find codec parameters Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt. Error opening input files: End of file Sun Feb 16 20:22:31 MST 2025: Transcription complete for conversion_log.txt. Moved MP3 to next step. Sun Feb 16 20:22:31 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600003c7ca00] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/conversion_log.txt. Error opening input files: No such file or directory Sun Feb 16 20:22:33 MST 2025: Transcription complete for conversion_log.txt. Moved MP3 to next step. Sun Feb 16 21:07:28 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/test-file.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Sun Feb 16 21:07:37 MST 2025: Transcription complete for test-file.mp3. Moved MP3 to next step. Sun Feb 16 21:07:37 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/test-file.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/test-file.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x60000219ca00] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/test-file.mp3. Error opening input files: No such file or directory Sun Feb 16 21:07:38 MST 2025: Transcription complete for test-file.mp3. Moved MP3 to next step. Sun Feb 16 21:43:44 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_02_2025_17_06_46.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Sun Feb 16 21:44:27 MST 2025: Transcription complete for Audio_02_02_2025_17_06_46.mp3. Moved MP3 to next step. Sun Feb 16 21:44:27 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_02_2025_17_06_46.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_02_2025_17_06_46.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600001188300] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_02_2025_17_06_46.mp3. Error opening input files: No such file or directory Sun Feb 16 21:44:29 MST 2025: Transcription complete for Audio_02_02_2025_17_06_46.mp3. Moved MP3 to next step. Sun Feb 16 21:44:29 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_02_2025_17_06_46.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_02_2025_17_06_46.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x6000035cc600] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_02_2025_17_06_46.mp3. Error opening input files: No such file or directory Sun Feb 16 21:44:31 MST 2025: Transcription complete for Audio_02_02_2025_17_06_46.mp3. Moved MP3 to next step. Sun Feb 16 22:16:59 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/tryagain.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Sun Feb 16 22:17:04 MST 2025: Transcription complete for tryagain.mp3. Moved MP3 to next step. Sun Feb 16 22:17:04 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/tryagain.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/tryagain.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 254. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [in#0 @ 0x600000d38600] Error opening input: No such file or directory Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/tryagain.mp3. Error opening input files: No such file or directory Sun Feb 16 22:17:06 MST 2025: Transcription complete for tryagain.mp3. Moved MP3 to next step. Tue Feb 18 16:09:27 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/again_fixed.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Tue Feb 18 16:09:45 MST 2025: Transcription complete for again_fixed.mp3. Moved MP3 to next step. Tue Feb 18 16:09:46 MST 2025: Skipping already processed file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/again_fixed.mp3 Tue Feb 18 16:11:51 MST 2025: Detected MP3 file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/again_fixed_fixed.mp3 /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Tue Feb 18 16:12:07 MST 2025: Transcription complete for again_fixed_fixed.mp3. Moved MP3 to next step. Tue Feb 18 16:12:09 MST 2025: Skipping already processed file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/again_fixed_fixed.mp3 Tue Feb 18 16:17:04 MST 2025: Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Tue Feb 18 16:17:09 MST 2025: Transcription complete for tryagain.mp3. Moved MP3 to next step. Tue Feb 18 16:17:10 MST 2025: Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/tryagain.mp3 Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for tryagain_fixed.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/tryagain_fixed.mp3 Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for testing.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/testing.mp3 Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for testing_fixed.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/testing_fixed.mp3 Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for tryagain.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/tryagain.mp3 Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for tryagain.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/tryagain.mp3 Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for fred-take4.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Fred-take3.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Fred-take2.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Fred-take-01.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Fred-take-01.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/fred-take4.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Fred-take3.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Fred-take2.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Fred-take-01.mp3 Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Fred-the-end.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Fred-the-end.mp3 Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Fred-Monologue.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Fred-Monologue.mp3 Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Final-Intro.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Final-Intro.mp3 Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_08_2025_17_05_00.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_16_2025_18_17_18.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_08_2025_17_05_00.mp3 Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_26_2025_15_49_24.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_26_2025_15_49_24.mp3 Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_23_2025_16_46_51.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_23_2025_16_46_51.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_23_2025_16_46_51.mp3 Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_20_2025_13_20_20.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_20_2025_13_20_20.mp3 Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_19_2025_15_09_57.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_18_2025_17_35_32.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_18_2025_17_17_39.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_18_2025_17_08_27.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_18_2025_17_07_52.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_18_2025_17_06_42.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_18_2025_17_05_43.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_18_2025_17_04_38.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_18_2025_17_04_38.mp3 Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_18_2025_14_36_08.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_18_2025_14_06_55.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_18_2025_14_06_10.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_18_2025_14_05_40.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_12_28_2024_16_58_47.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_12_28_2024_16_58_47.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_12_28_2024_16_58_47.mp3 Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_02_2025_17_18_07.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_02_2025_17_18_07.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_02_2025_17_18_07.mp3 Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_05_2025_11_49_56.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_05_2025_17_05_57.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_05_2025_17_06_24.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_07_2025_17_01_13.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_13_2025_14_06_42.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_13_2025_16_58_34.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_13_2025_16_59_17.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_13_2025_17_04_40.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_13_2025_17_04_40.mp3 Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_13_2025_17_17_39.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_13_2025_17_17_39.mp3 Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_01_26_2025_15_07_56.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_01_26_2025_15_07_56.mp3 Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_01_30_2025_17_17_03.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_01_30_2025_17_18_33.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_01_30_2025_17_18_33.mp3 Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Coach-soccer.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Coach-soccer.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Coach-soccer.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_16_2025_18_17_18.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_26_2025_15_49_24.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_23_2025_16_46_51.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_20_2025_13_20_20.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_19_2025_15_09_57.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_18_2025_17_35_32.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_18_2025_17_17_39.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_18_2025_17_08_27.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_18_2025_17_07_52.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_18_2025_17_06_42.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_18_2025_17_05_43.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_18_2025_17_04_38.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_18_2025_14_36_08.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_18_2025_14_06_55.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_18_2025_14_06_10.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_18_2025_14_05_40.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_12_28_2024_16_58_47.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_02_2025_17_18_07.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_05_2025_11_49_56.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_05_2025_17_05_57.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_05_2025_17_06_24.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_07_2025_17_01_13.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_13_2025_14_06_42.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_13_2025_16_58_34.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_13_2025_16_59_17.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_13_2025_17_04_40.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_13_2025_17_17_39.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_01_26_2025_15_07_56.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_01_30_2025_17_17_03.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_01_30_2025_17_18_33.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Coach-soccer.mp3 Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Microphone-Check-12-What-Is-This.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_26_2025_15_48_54.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_02_2025_13_08_12.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_05_2025_11_19_34.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_08_2025_17_07_18.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Microphone-Check-12-What-Is-This.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_26_2025_15_48_54.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_02_2025_13_08_12.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_05_2025_11_19_34.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_08_2025_17_07_18.mp3 Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_21_2025_13_27_39.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_02_19_2025_15_11_04.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_21_2025_13_27_39.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_02_19_2025_15_11_04.mp3 Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_01_28_2025_17_35_39.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_01_28_2025_17_35_39.mp3 Detected a new MP3 file to process. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_03_01_2025_21_39_46.mp3. Moved MP3 to next step. Detected a new MP3 file to process. Transcription complete for Audio_03_01_2025_21_39_46.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_03_01_2025_11_13_04.mp3. Moved MP3 to next step. Detected a new MP3 file to process. Transcription complete for Audio_03_01_2025_11_13_04.mp3. Moved MP3 to next step. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for Audio_03_01_2025_11_13_48.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_03_01_2025_11_13_48.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_03_01_2025_21_39_46.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_03_01_2025_11_13_04.mp3 Transcription complete for Audio_03_01_2025_11_13_48.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_03_01_2025_11_13_48.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_03_01_2025_21_39_46.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_03_01_2025_11_13_04.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_03_01_2025_11_13_48.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/Audio_03_01_2025_11_13_48.mp3 Detected a new MP3 file to process. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for voicv.mp3. Moved MP3 to next step. Transcription complete for voicv.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/voicv.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/voicv.mp3 Detected a new MP3 file to process. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Traceback (most recent call last): Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 58, in load_audio out = run(cmd, capture_output=True, check=True).stdout ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) File "/opt/homebrew/Cellar/python@3.13/3.13.2/Frameworks/Python.framework/Versions/3.13/lib/python3.13/subprocess.py", line 579, in run raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/ShockOfLoss_1.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 183. subprocess.CalledProcessError: Command '['ffmpeg', '-nostdin', '-threads', '0', '-i', '/Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/ShockOfLoss_1.mp3', '-f', 's16le', '-ac', '1', '-acodec', 'pcm_s16le', '-ar', '16000', '-']' returned non-zero exit status 183. The above exception was the direct cause of the following exception: Traceback (most recent call last): The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 597, in cli result = transcribe(model, audio_path, temperature=temperature, **args) RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [mp3 @ 0x124704850] Format mp3 detected only with low score of 1, misdetection possible! [mp3 @ 0x124704850] Failed to find two consecutive MPEG audio frames. [in#0 @ 0x600002b88a00] Error opening input: Invalid data found when processing input Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/ShockOfLoss_1.mp3. Error opening input files: Invalid data found when processing input File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py", line 133, in transcribe mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 140, in log_mel_spectrogram audio = load_audio(audio) File "/opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/audio.py", line 60, in load_audio raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e RuntimeError: Failed to load audio: ffmpeg version 7.1 Copyright (c) 2000-2024 the FFmpeg developers built with Apple clang version 16.0.0 (clang-1600.0.26.4) configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/7.1_4 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags='-Wl,-ld_classic' --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libaribb24 --enable-libbluray --enable-libdav1d --enable-libharfbuzz --enable-libjxl --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-audiotoolbox --enable-neon libavutil 59. 39.100 / 59. 39.100 libavcodec 61. 19.100 / 61. 19.100 libavformat 61. 7.100 / 61. 7.100 libavdevice 61. 3.100 / 61. 3.100 libavfilter 10. 4.100 / 10. 4.100 libswscale 8. 3.100 / 8. 3.100 libswresample 5. 3.100 / 5. 3.100 libpostproc 58. 3.100 / 58. 3.100 [mp3 @ 0x136804480] Format mp3 detected only with low score of 1, misdetection possible! [mp3 @ 0x136804480] Failed to find two consecutive MPEG audio frames. [in#0 @ 0x600000a50300] Error opening input: Invalid data found when processing input Error opening input file /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/ShockOfLoss_1.mp3. Error opening input files: Invalid data found when processing input Transcription complete for ShockOfLoss_1.mp3. Moved MP3 to next step. Transcription complete for ShockOfLoss_1.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/ShockOfLoss_1.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/ShockOfLoss_1.mp3 Detected a new MP3 file to process. Detected a new MP3 file to process. /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") /opt/homebrew/Cellar/openai-whisper/20240930_1/libexec/lib/python3.13/site-packages/whisper/transcribe.py:126: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Transcription complete for ShockOfLoss_1.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/ShockOfLoss_1.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/ShockOfLoss_1.mp3 Transcription complete for ShockOfLoss_1.mp3. Moved MP3 to next step. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/ShockOfLoss_1.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN-RAW/_02_Converted_MP3/ShockOfLoss_1.mp3 Detected a new MP3 file to process. Moved MP3 to next step for Audacity processing. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN/_02_Converted_MP3/ShockOfLoss-test.mp3 Detected a new MP3 file to process. Moved MP3 to next step for Audacity processing. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN/_02_Converted_MP3/ShockOfLoss-test.mp3 Skipping already processed file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN/_02_Converted_MP3/ShockOfLoss-test.mp3 Skipping already processed file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN/_02_Converted_MP3/ShockOfLoss-test.mp3 Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN/_02_Converted_MP3/ShockOfLoss-test.mp3 Detected a new MP3 file to process. Moved MP3 to next step for Audacity processing. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN/_02_Converted_MP3/ShockOfLoss-3.mp3 Detected a new MP3 file to process. Moved MP3 to next step for Audacity processing. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN/_02_Converted_MP3/ShockOfLoss-3.mp3 Skipping already processed file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN/_02_Converted_MP3/ShockOfLoss-3.mp3 Skipping already processed file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN/_02_Converted_MP3/ShockOfLoss-3.mp3 Skipping already processed file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN/_02_Converted_MP3/ShockOfLoss-3.mp3 Skipping already processed file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN/_02_Converted_MP3/ShockOfLoss-3.mp3 Skipping already processed file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN/_02_Converted_MP3/ShockOfLoss-3.mp3 Skipping already processed file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN/_02_Converted_MP3/ShockOfLoss-3.mp3 Skipping already processed file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN/_02_Converted_MP3/ShockOfLoss-3.mp3 Skipping already processed file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN/_02_Converted_MP3/ShockOfLoss-3.mp3 Detected a new MP3 file to process. Moved MP3 to next step for Audacity processing. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN/_02_Converted_MP3/Shock.mp3 Detected a new MP3 file to process. Moved MP3 to next step for Audacity processing. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN/_02_Converted_MP3/Shok.mp3 Detected a new MP3 file to process. Moved MP3 to next step for Audacity processing. Ignoring deleted or moved file: /Users/bertm/Dropbox/__INBOX_RECIEVING/__AUDIO-IN/_02_Converted_MP3/Shok.mp3