# Meeting Intelligence Transcription Service # Uses whisper.cpp for fast CPU-based transcription # Uses resemblyzer for speaker diarization FROM python:3.11-slim AS builder # Install build dependencies RUN apt-get update && apt-get install -y --no-install-recommends \ build-essential \ cmake \ git \ ffmpeg \ wget \ && rm -rf /var/lib/apt/lists/* # Build whisper.cpp WORKDIR /build RUN git clone https://github.com/ggerganov/whisper.cpp.git && \ cd whisper.cpp && \ cmake -B build -DWHISPER_BUILD_EXAMPLES=ON && \ cmake --build build --config Release -j$(nproc) && \ cp build/bin/whisper-cli /usr/local/bin/whisper && \ cp build/bin/whisper-server /usr/local/bin/whisper-server 2>/dev/null || true # Download whisper models WORKDIR /models RUN cd /build/whisper.cpp && \ bash models/download-ggml-model.sh small && \ mv models/ggml-small.bin /models/ # Production image FROM python:3.11-slim # Install runtime dependencies and build tools (for compiling Python packages) RUN apt-get update && apt-get install -y --no-install-recommends \ ffmpeg \ libsndfile1 \ curl \ build-essential \ && rm -rf /var/lib/apt/lists/* # Copy whisper binary and models COPY --from=builder /usr/local/bin/whisper /usr/local/bin/whisper COPY --from=builder /models /models # Set up Python environment WORKDIR /app # Install Python dependencies COPY requirements.txt . RUN pip install --no-cache-dir -r requirements.txt # Remove build tools to reduce image size RUN apt-get purge -y build-essential && apt-get autoremove -y # Copy application code COPY app/ ./app/ # Create directories RUN mkdir -p /recordings /audio /logs # Environment variables ENV PYTHONUNBUFFERED=1 ENV WHISPER_MODEL=/models/ggml-small.bin ENV WHISPER_THREADS=8 # Health check HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \ CMD curl -f http://localhost:8001/health || exit 1 # Run the service EXPOSE 8001 CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8001", "--workers", "1"]