| # Start with a lightweight Linux Anaconda image | |
| FROM continuumio/miniconda3 | |
| # Update all packages and install nano unzip and curl | |
| RUN apt-get update | |
| RUN apt-get install nano unzip curl -y | |
| # THIS IS SPECIFIC TO HUGGINFACE | |
| # We create a new user named "user" with ID of 1000 | |
| RUN useradd -m -u 1000 user | |
| # We switch from "root" (default user when creating an image) to "user" | |
| USER user | |
| # We set two environment variables | |
| # so that we can give ownership to all files in there afterwards | |
| # we also add /home/user/.local/bin in the $PATH environment variable | |
| # PATH environment variable sets paths to look for installed binaries | |
| # We update it so that Linux knows where to look for binaries if we were to install them with "user". | |
| ENV HOME=/home/user \ | |
| PATH=/home/user/.local/bin:$PATH | |
| # We set working directory to $HOME/app (<=> /home/user/app) | |
| WORKDIR $HOME/app | |
| # Install basic dependencies | |
| RUN pip install boto3 pandas gunicorn streamlit scikit-learn matplotlib seaborn plotly | |
| # Copy all local files to /home/user/app with "user" as owner of these files | |
| # Always use --chown=user when using HUGGINGFACE to avoid permission errors | |
| COPY --chown=user . $HOME/app | |
| # THIS IS SPECIFIC TO HUGGINGFACE AS WELL | |
| # expose port 7860 which is the port used by HuggingFace for Web Applications | |
| EXPOSE 7860 | |
| # Run streamlit server | |
| CMD streamlit run --server.port 7860 app.py | |