Docker

# Use a lightweight Python image
FROM python:3.9-slim

# Set environment variables
ENV PYTHONUNBUFFERED=1 \
    SHELL=/bin/bash

# Set the working directory
WORKDIR /app

# Install MLflow
RUN pip install mlflow

# Copy the start_server.sh script into the container
COPY start_server.sh .

# Ensure the script is executable
RUN chmod +x start_server.sh

# Expose the default MLflow port
EXPOSE 7860

# Command to run the start_server.sh script
CMD ["./start_server.sh"]