c5cc7c2969
- Update torch from 2.0.1 to 2.1.0 - Update torchaudio from 2.0.2 to 2.1.0 (fixes 'NoneType' object has no attribute 'eval' error) - Update torchvision from 0.15.2 to 0.16.0 - Update pytorch-lightning from 2.0.6 to 2.1.0 - Add explicit speechbrain==1.0.0 dependency - Update transformers and tokenizers for compatibility - Update protobuf version constraint Fixes diarization error: speechbrain.pretrained was deprecated and redirected to speechbrain.inference in SpeechBrain 1.0, but required torchaudio >= 2.1.0
45 lines
1.3 KiB
Docker
45 lines
1.3 KiB
Docker
FROM python:3.11-slim
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# Set working directory
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WORKDIR /app
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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ffmpeg \
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git \
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wget \
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curl \
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build-essential \
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&& rm -rf /var/lib/apt/lists/*
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# Copy requirements first for better Docker layer caching
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COPY requirements.txt .
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# Install Python dependencies with pinned versions
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RUN pip install --no-cache-dir -r requirements.txt
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# Optional: Install CUDA-specific PyTorch if GPU support needed
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# Uncomment and modify for your CUDA version:
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# RUN pip install --force-reinstall torch==2.1.0+cu118 torchvision==0.16.0+cu118 torchaudio==2.1.0+cu118 --index-url https://download.pytorch.org/whl/cu118
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# Copy application code
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COPY . .
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# Create directories for mounted volumes
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RUN mkdir -p /app/data/videos /app/data/outputs /app/data/cache
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# Set environment variables
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ENV STREAMLIT_SERVER_PORT=8501
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ENV STREAMLIT_SERVER_ADDRESS=0.0.0.0
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ENV STREAMLIT_SERVER_HEADLESS=true
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ENV STREAMLIT_BROWSER_GATHER_USAGE_STATS=false
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# Expose Streamlit port
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EXPOSE 8501
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# Health check
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HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
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CMD curl -f http://localhost:8501/_stcore/health || exit 1
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# Start the application
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CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"] |