Dockerfile

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

# Set the working directory in the container
WORKDIR /app

# Copy the requirements.txt file into the container
COPY requirements.txt .

# Install the dependencies
RUN pip install --no-cache-dir -r requirements.txt

# Copy the application files (app.py and the saved model) into the container
COPY app.py .
COPY best_random_forest_pipeline.joblib .
COPY best_random_forest_model.joblib .

# Run the application when the container starts
CMD ["streamlit", "run", "app.py"]
# If you have other necessary files, copy them here as well

# Expose the port that Streamlit runs on
EXPOSE 8501

# Command to run the Streamlit application
CMD ["streamlit", "run", "app.py"]