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| # Dockerfile | |
| # Use the official Python image as base | |
| FROM python:3.10-slim | |
| # Set working directory inside the container | |
| WORKDIR /app | |
| # Copy your requirements, app code and trained model | |
| COPY random_forest_best_model.pkl ./ | |
| COPY streamlit_app.py ./ | |
| COPY requirements.txt ./ | |
| # Install Python dependencies | |
| RUN pip install --no-cache-dir -r requirements.txt | |
| # Expose the port Streamlit will run on | |
| EXPOSE 8501 | |
| # Run Streamlit app | |
| CMD ["streamlit", "run", "streamlit_app.py", "--server.port=8501", "--server.address=0.0.0.0"] | |