mirror of
https://github.com/remsky/Kokoro-FastAPI.git
synced 2025-04-13 09:39:17 +00:00
59 lines
1.8 KiB
Docker
59 lines
1.8 KiB
Docker
FROM --platform=$BUILDPLATFORM nvidia/cuda:12.4.1-cudnn-runtime-ubuntu22.04
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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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python3.10-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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&& 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/x86_64-linux-gnu/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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useradd -m -u 1000 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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# 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 && \
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uv sync --extra gpu
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# Copy project files including models and sync again
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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/download_model.* ./
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv sync --extra gpu
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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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# Run FastAPI server
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CMD ["uv", "run", "python", "-m", "uvicorn", "api.src.main:app", "--host", "0.0.0.0", "--port", "8880", "--log-level", "debug"]
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