d1e1fedcae
Issue #7: Handle moviepy 2.x removing verbose param from write_audiofile Issue #8: Pin transformers<5.0.0 to fix summarization pipeline task registry Issue #9: Add Whisper model memory warnings and OOM error handling
55 lines
1.7 KiB
Plaintext
55 lines
1.7 KiB
Plaintext
# OBS Recording Transcriber Dependencies
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# Core dependencies
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# streamlit>=1.30.0 required for protobuf>=5.0 compatibility
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streamlit>=1.30.0
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moviepy>=1.0.3
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openai-whisper>=20231117
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requests>=2.28.0
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humanize>=4.6.0
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# PyTorch ecosystem - DO NOT include here for Docker builds
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# These are installed separately with CUDA support in Dockerfile.gpu
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# For local installs: pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
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# torchaudio >= 2.1.0 is REQUIRED for diarization to work properly
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# Transformers ecosystem
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transformers>=4.35.0,<5.0.0
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tokenizers>=0.14.0
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# ML dependencies - use flexible versions for compatibility
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numpy>=1.24.0
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scipy>=1.10.0
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scikit-learn>=1.3.0
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# Audio processing and ML models
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# speechbrain 1.0+ required for pyannote compatibility
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speechbrain>=1.0.0
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pyannote.audio>=3.1.1
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pytorch-lightning>=2.0.0
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# Other dependencies
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iso639>=0.1.4
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# protobuf>=5.0 required by opentelemetry (pyannote.audio dependency)
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protobuf>=5.0.0
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matplotlib>=3.5.0
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soundfile>=0.10.3
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ffmpeg-python>=0.2.0
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# Optional: Ollama Python client (uncomment to install)
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# ollama
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# Installation notes:
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# 1. For Windows users, you may need to install PyTorch separately:
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# pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
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#
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# 2. For tokenizers issues, try installing Visual C++ Build Tools:
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# https://visualstudio.microsoft.com/visual-cpp-build-tools/
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#
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# 3. For pyannote.audio, you'll need a HuggingFace token with access to:
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# https://huggingface.co/pyannote/speaker-diarization-3.0
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#
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# 4. FFmpeg is required for audio processing:
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# Windows: https://www.gyan.dev/ffmpeg/builds/
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# Mac: brew install ffmpeg
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# Linux: apt-get install ffmpeg
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