mirror of
https://github.com/remsky/Kokoro-FastAPI.git
synced 2025-04-13 09:39:17 +00:00
67 lines
1.9 KiB
Docker
67 lines
1.9 KiB
Docker
FROM --platform=$BUILDPLATFORM nvidia/cuda:12.8.0-cudnn-runtime-ubuntu24.04
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# Set non-interactive frontend
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ENV DEBIAN_FRONTEND=noninteractive
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# Install Python and other dependencies
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RUN apt-get update && apt-get install -y \
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python3.10 \
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python3-venv \
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espeak-ng \
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espeak-ng-data \
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git \
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libsndfile1 \
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curl \
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ffmpeg \
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g++ \
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&& apt-get clean && rm -rf /var/lib/apt/lists/* \
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&& mkdir -p /usr/share/espeak-ng-data \
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&& ln -s /usr/lib/*/espeak-ng-data/* /usr/share/espeak-ng-data/
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# Install UV using the installer script
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RUN curl -LsSf https://astral.sh/uv/install.sh | sh && \
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mv /root/.local/bin/uv /usr/local/bin/ && \
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mv /root/.local/bin/uvx /usr/local/bin/
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# Create non-root user and set up directories and permissions
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RUN useradd -m -u 1001 appuser && \
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mkdir -p /app/api/src/models/v1_0 && \
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chown -R appuser:appuser /app
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USER appuser
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WORKDIR /app
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# Copy dependency files
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COPY --chown=appuser:appuser pyproject.toml ./pyproject.toml
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ENV PHONEMIZER_ESPEAK_PATH=/usr/bin \
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PHONEMIZER_ESPEAK_DATA=/usr/share/espeak-ng-data \
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ESPEAK_DATA_PATH=/usr/share/espeak-ng-data
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# Install dependencies with GPU extras (using cache mounts)
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv venv --python 3.10 && \
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uv sync --extra gpu
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# Copy project files including models
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COPY --chown=appuser:appuser api ./api
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COPY --chown=appuser:appuser web ./web
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COPY --chown=appuser:appuser docker/scripts/ ./
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RUN chmod +x ./entrypoint.sh
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# Set all environment variables in one go
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ENV PYTHONUNBUFFERED=1 \
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PYTHONPATH=/app:/app/api \
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PATH="/app/.venv/bin:$PATH" \
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UV_LINK_MODE=copy \
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USE_GPU=true
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ENV DOWNLOAD_MODEL=true
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# Download model if enabled
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RUN if [ "$DOWNLOAD_MODEL" = "true" ]; then \
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python download_model.py --output api/src/models/v1_0; \
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fi
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ENV DEVICE="gpu"
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# Run FastAPI server through entrypoint.sh
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CMD ["./entrypoint.sh"]
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