| # Use the official Jupyter Docker image | |
| FROM jupyter/base-notebook:latest | |
| # Switch to the root user to perform privileged actions | |
| USER root | |
| # Install Jupyter Lab and additional packages | |
| RUN pip install --no-cache-dir \ | |
| jupyterlab \ | |
| torch \ | |
| tensorflow \ | |
| transformers \ | |
| datasets \ | |
| matplotlib \ | |
| seaborn \ | |
| scikit-learn \ | |
| pandas | |
| # Create a directory for the webpage | |
| RUN mkdir -p /home/jovyan/jupyterlab | |
| # Add the HTML file to the container | |
| COPY index.html /home/jovyan/jupyterlab/index.html | |
| # Expose the ports Jupyter Lab and web server will run on | |
| EXPOSE 8888 8000 | |
| # Switch back to the notebook user | |
| USER $NB_UID | |
| # Start both Jupyter Lab and the web server | |
| CMD ["sh", "-c", "jupyter lab --ip=0.0.0.0 --port=8888 --no-browser --allow-root --NotebookApp.token='' & cd /home/jovyan/jupyterlab && python3 -m http.server 8000"] |