- Add XTTS v2 configuration to .env.example - Refactor Dockerfile to multi-stage build with CUDA 12.1 support - Update Makefile with Kokoro and XTTS test environment targets - Refactor Piper engine (app/engines/piper.py) to use python module execution - Add comprehensive documentation for Kokoro and XTTS plans - Add helper scripts and patches for build process
57 lines
1.9 KiB
Docker
57 lines
1.9 KiB
Docker
# Stage 1: Builder (for heavy Python dependencies including CUDA-enabled PyTorch)
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FROM nvidia/cuda:12.1.0-devel-ubuntu22.04 as builder
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WORKDIR /opt/venv
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# Install Python 3.11 and venv in the builder stage
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RUN apt-get update && apt-get install -y python3.11 python3.11-venv
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# Create a virtual environment and install Python dependencies
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COPY requirements.txt .
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COPY patches/ ./patches/
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RUN python3.11 -m venv . && . /opt/venv/bin/activate && pip install --no-cache-dir -r requirements.txt && \
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chmod +x ./patches/fix-misaki-espeak.sh && ./patches/fix-misaki-espeak.sh
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# Stage 2: Runner (The final slim image)
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FROM python:3.11-slim
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# Install system dependencies needed at runtime
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# ffmpeg is required for audio conversion
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# espeak-ng is required for Kokoro TTS phonemization
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RUN apt-get update && apt-get install -y --no-install-recommends \
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ffmpeg \
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espeak-ng \
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&& rm -rf /var/lib/apt/lists/*
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# Create an unprivileged user
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RUN useradd --create-home --shell /bin/bash appuser
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# Set working directory for the application code
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WORKDIR /home/appuser
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# Copy the entire virtual environment from the builder stage
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COPY --from=builder /opt/venv /opt/venv
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# Add venv to PATH and PYTHONPATH so packages and scripts work correctly
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ENV PATH="/opt/venv/bin:$PATH"
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ENV PYTHONPATH="/opt/venv/lib/python3.11/site-packages:$PYTHONPATH"
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# Create espeak-ng-data symlink for misaki compatibility
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RUN mkdir -p /home/runner/work/espeakng-loader/espeakng-loader/espeak-ng/_dynamic/share/ && \
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ln -sf /usr/lib/x86_64-linux-gnu/espeak-ng-data /home/runner/work/espeakng-loader/espeakng-loader/espeak-ng/_dynamic/share/espeak-ng-data
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# Copy the application code into the container
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COPY app/ ./app
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# Expose the application port
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EXPOSE 8000
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# Run as the unprivileged user
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USER appuser
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# Command to run the application using uvicorn for development with auto-reloading
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CMD ["python3.11", "-m", "uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000", "--log-level", "debug"]
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