churn_prediction_app / Dockerfile
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# Use the official Python image as a parent image
FROM python:3.11.3-slim
# Set the working directory within the container
WORKDIR /app
# Copy the requirements.txt file into the container
COPY ./requirements.txt /app/requirements.txt
# Install the Python dependencies
RUN pip install -r /app/requirements.txt
# Set MPLCONFIGDIR to /tmp
ENV MPLCONFIGDIR /tmp
# Copy your Gradio application code into the container
COPY ./app.py /app/app.py
# Copy the model and key components into the container
COPY ./rf_key_components.pkl /app/rf_key_components.pkl
# Set the correct permissions on /tmp and /app
RUN chmod 1777 /tmp && chmod -R 777 /app
# Expose port 7860 for the Gradio application
EXPOSE 7860
# Command to run the Gradio app when the container starts
CMD ["python", "app.py"]