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| # syntax=docker/dockerfile:1.4 | |
| FROM python:3.10-slim | |
| # Set working directory | |
| WORKDIR /app | |
| # Install necessary dependencies | |
| RUN apt-get update && apt-get install -y git | |
| # Upgrade pip to the latest version | |
| RUN pip install --upgrade pip | |
| # Set Matplotlib configuration directory | |
| ENV MPLCONFIGDIR=/tmp/.matplotlib | |
| # Create necessary directories and set permissions | |
| RUN mkdir -p /app /tmp/.matplotlib && chmod -R 777 /app /tmp/.matplotlib | |
| # Clone private repository using mounted secret | |
| RUN --mount=type=secret,id=GITHUB_TOKEN,mode=0444,required=true \ | |
| git clone https://x-access-token:$(cat /run/secrets/GITHUB_TOKEN)@github.com/leoncool23/sci_bayes_classify.git . | |
| # Install Python dependencies | |
| RUN pip install --no-cache-dir -r requirements.txt | |
| # Expose the port for Streamlit | |
| EXPOSE 7860 | |
| # Run the Streamlit app | |
| CMD ["streamlit", "run", "app.py", "--server.port=7860", "--server.address=0.0.0.0", "--server.enableXsrfProtection=false"] | |