bunker-admin
c7becf330c
Real-time speech-to-text using OpenAI Whisper (faster-whisper). Features browser audio capture, WebSocket streaming, and customizable display settings. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
55 lines
1.5 KiB
Docker
55 lines
1.5 KiB
Docker
# GPU-enabled Dockerfile for NVIDIA CUDA support
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FROM nvidia/cuda:12.1.0-cudnn8-runtime-ubuntu22.04
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# Set environment variables
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ENV PYTHONDONTWRITEBYTECODE=1
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ENV PYTHONUNBUFFERED=1
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ENV DEBIAN_FRONTEND=noninteractive
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# Install Python and system dependencies
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RUN apt-get update && apt-get install -y --no-install-recommends \
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python3.11 \
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python3.11-venv \
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python3-pip \
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ffmpeg \
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libsndfile1 \
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&& rm -rf /var/lib/apt/lists/*
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# Set Python 3.11 as default
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RUN update-alternatives --install /usr/bin/python python /usr/bin/python3.11 1 \
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&& update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.11 1
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# Create app directory
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WORKDIR /app
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# Create non-root user
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RUN useradd -m -u 1000 appuser
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# Copy requirements first for better caching
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COPY requirements.txt .
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# Install Python dependencies
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy application code
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COPY . .
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# Create data and recordings directories
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RUN mkdir -p /app/data /app/recordings && chown -R appuser:appuser /app
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# Create directory for Whisper models cache
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RUN mkdir -p /home/appuser/.cache/huggingface && chown -R appuser:appuser /home/appuser
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# Switch to non-root user
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USER appuser
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# Expose port
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EXPOSE 5000
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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 python -c "import urllib.request; urllib.request.urlopen('http://localhost:5000/api/health')" || exit 1
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# Run the application
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CMD ["python", "app.py"]
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