mirror of
https://github.com/jamiepine/voicebox.git
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- Replaced python3-pip with python3.12-venv in the installation process. - Added commands to ensure pip is upgraded and installed after setting Python 3.12 as the default. - Streamlined the installation of PyTorch by removing redundant pip upgrade command.
59 lines
1.6 KiB
Docker
59 lines
1.6 KiB
Docker
# Dockerfile for Voicebox with NVIDIA GPU support (CUDA)
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FROM nvidia/cuda:12.1.1-runtime-ubuntu22.04
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# Prevent interactive prompts during build
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ENV DEBIAN_FRONTEND=noninteractive
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ENV TZ=UTC
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WORKDIR /app
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# Install Python 3.12
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RUN apt-get update && apt-get install -y \
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software-properties-common \
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&& add-apt-repository ppa:deadsnakes/ppa \
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&& apt-get update && apt-get install -y \
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python3.12 \
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python3.12-dev \
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python3.12-venv \
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ffmpeg \
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curl \
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tzdata \
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&& rm -rf /var/lib/apt/lists/*
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# Set Python 3.12 as default and bootstrap pip
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RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.12 1 && \
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update-alternatives --install /usr/bin/python python /usr/bin/python3.12 1 && \
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python3.12 -m ensurepip --upgrade && \
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python3.12 -m pip install --upgrade pip
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# Copy backend
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COPY backend/ /app/backend/
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COPY providers/ /app/providers/
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# Copy pre-built web UI
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COPY web/dist/ /app/web/dist/
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# Install PyTorch with CUDA support first
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RUN pip install --no-cache-dir \
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torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
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# Install remaining dependencies
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RUN pip install --no-cache-dir \
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fastapi uvicorn[standard] pydantic sqlalchemy alembic \
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transformers accelerate huggingface_hub \
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librosa soundfile numpy python-multipart Pillow \
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qwen-tts
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# Create data directory
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RUN mkdir -p /app/data
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# Health check
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HEALTHCHECK --interval=30s --timeout=10s --retries=3 --start-period=40s \
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CMD curl -f http://localhost:8000/health || exit 1
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EXPOSE 8000
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# Run server with web UI
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CMD ["uvicorn", "backend.main:app", "--host", "0.0.0.0", "--port", "8000"]
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