| # Use an official Python runtime as a parent image | |
| FROM python:3.11.5-bookworm | |
| # The next few lines come from here: https://huggingface.co/docs/hub/spaces-sdks-docker#permissions | |
| # Set up a new user named "user" with user ID 1000 | |
| RUN useradd -m -u 1000 user | |
| # Switch to the "user" user | |
| USER user | |
| # Set home to the user's home directory. | |
| # See here for persistent storage: https://huggingface.co/docs/hub/spaces-storage | |
| ENV HOME=/data \ | |
| PATH=/data:$PATH | |
| # Change permissions for to read/write/execute | |
| # RUN mkdir -p $HOME/app | |
| RUN chmod 777 $HOME/ | |
| # Set the working directory to the user's home directory | |
| WORKDIR $HOME/ | |
| # Install poetry | |
| RUN pip3 install poetry | |
| # Copy only the necessary files for installing dependencies | |
| COPY --chown=user pyproject.toml poetry.lock ./ | |
| # Disable virtual environments creation by Poetry | |
| # as the Docker container itself is an isolated environment | |
| RUN poetry config virtualenvs.in-project true | |
| # Set the name of the virtual environment | |
| RUN poetry config virtualenvs.path $HOME//.venv | |
| # Install dependencies | |
| RUN poetry install | |
| # Set the .venv folder as the virtual environment directory | |
| ENV PATH="$HOME//.venv/bin:$PATH" | |
| # Copy the current directory contents into the container | |
| COPY --chown=user . $HOME/ | |
| # Make a port available to the world outside this container | |
| # The EXPOSE instruction informs Docker that the container listens on the specified network ports at runtime. Your container needs to listen to Streamlit’s (default) port 8501. | |
| EXPOSE 8501 | |
| # The HEALTHCHECK instruction tells Docker how to test a container to check that it is still working. Your container needs to listen to Streamlit’s (default) port 8501: | |
| HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health | |
| # Update working directory to be consistent with where Start.py is | |
| WORKDIR $HOME/scripts | |
| # An ENTRYPOINT allows you to configure a container that will run as an executable. Here, it also contains the entire streamlit run command for your app, so you don’t have to call it from the command line | |
| ENTRYPOINT ["streamlit", "run", "Start.py", "--server.port=8501", "--server.address=0.0.0.0"] | |
| # Execute with: | |
| # docker build -t <image_name> . | |
| # docker run -p 8501:8501 <image_name> |