Dockerfile

# Use an official Python image as the base image
FROM python:3.9-slim

# Set the working directory inside the container
WORKDIR /app

# Copy the current directory contents to the container
COPY . /app

# Install required system dependencies (optional, modify as needed)
RUN apt-get update && apt-get install -y --no-install-recommends \
    git && \
    rm -rf /var/lib/apt/lists/*

# Install Python dependencies from requirements.txt (if available)
# Create a requirements.txt file with all necessary packages
RUN pip install --no-cache-dir notebook pandas mlflow

# Expose the default Jupyter Notebook port
EXPOSE 8888

# Add a runtime argument for authentication (optional)
ARG CR_PAT
ARG USERNAME

# Default command to run the Jupyter Notebook
CMD ["jupyter", "notebook", "--ip=0.0.0.0", "--port=8888", "--no-browser", "--allow-root"]