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| # Production Dockerfile for ZenVolt AI API on Hugging Face Spaces | |
| FROM python:3.11-slim | |
| # Install system dependencies (needed for some AI libraries) | |
| RUN apt-get update && apt-get install -y \ | |
| build-essential \ | |
| libpq-dev \ | |
| && rm -rf /var/lib/apt/lists/* | |
| # Set up a new user named "user" with user ID 1000 | |
| RUN useradd -m -u 1000 user | |
| # Switch to the "user" user | |
| USER user | |
| # Set home environment variable | |
| ENV HOME=/home/user \ | |
| PATH=/home/user/.local/bin:$PATH | |
| # Set working directory | |
| WORKDIR $HOME/app | |
| # Copy requirements first to leverage Docker cache | |
| COPY --chown=user requirements.txt . | |
| RUN pip install --no-cache-dir --user -r requirements.txt | |
| # Copy the rest of the application code | |
| COPY --chown=user . . | |
| # Ensure model directories exist and have proper permissions | |
| RUN mkdir -p models data plots | |
| # Expose the standard Hugging Face port | |
| EXPOSE 7860 | |
| # Run the API server | |
| CMD ["python3", "-m", "uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"] | |