Marius Mutu
bbc5884545
- run.bat: one-click pipeline (download, convert, transcribe) - download.py: fetch audio from course platform - transcribe.py: whisper.cpp batch transcription (CPU, WAV 16kHz) - MP3->WAV conversion via ffmpeg - --modules filter for splitting work across machines - summarize.py: generate summaries from transcripts - setup_whisper.py: auto-download whisper.cpp, ffmpeg, and model - Medium model (q5_0) instead of large to avoid VRAM crashes Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
35 lines
378 B
Plaintext
35 lines
378 B
Plaintext
# Audio files
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audio/
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*.mp3
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*.wav
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# Whisper models
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models/
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*.bin
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# Credentials
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.env
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# Transcripts and summaries (large generated content)
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transcripts/
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summaries/
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# Binaries (downloaded by setup_whisper.py)
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whisper-bin/
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ffmpeg-bin/
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# Temp files
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.whisper_bin_path
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.ffmpeg_bin_path
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# WAV cache (converted from MP3)
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audio_wav/
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# Python
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__pycache__/
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*.pyc
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.venv/
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# Logs
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*.log
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