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# Use a lightweight Python image
FROM python:3.9-slim
# Set the working directory
WORKDIR /app
# Install MLflow
RUN pip install mlflow
# Expose the default MLflow port
EXPOSE 7860
COPY start_server.sh .
RUN chmod +x start_server.sh
# Ensure the /data directory exists
RUN mkdir -p /data/mlruns
# Set environment variables
ENV MLFLOW_TRACKING_URI=file:///data/mlruns
# Command to run the MLflow server
CMD ["./start_server.sh"]
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