| # 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 | |
| USER user | |
| # Clone aerospace-chatbot github repository | |
| RUN apt-get update && apt-get install -y git | |
| WORKDIR /app | |
| RUN git clone -b rag_study https://github.com/dan-s-mueller/aerospace_chatbot.git . | |
| # Set home to the user's home directory | |
| ENV HOME=/home/user \ | |
| PATH=/home/user/.local/bin:$PATH | |
| WORKDIR $HOME | |
| # Try and run pip command after setting the user with `USER user` to avoid permission issues with Python | |
| # RUN pip install --no-cache-dir --upgrade pip | |
| # Install Poetry | |
| RUN pip3 install poetry==1.7.1 | |
| # Copy poetry files | |
| COPY --chown=user /app/aerospace_chatbot/pyproject.toml /app/aerospace_chatbot/poetry.lock* $HOME | |
| # 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 $HOME/.venv | |
| # Set environment variables | |
| ENV PATH="$HOME/.venv/bin:$PATH" | |
| # Install dependencies using Poetry | |
| RUN poetry install --no-dev | |
| # Create a directory for the app code | |
| RUN mkdir -p $HOME/src $HOME/data $HOME/config | |
| # Copy the rest of your application code | |
| COPY --chown=user /app/aerospace_chatbot/src $HOME/src | |
| COPY --chown=user /app/aerospace_chatbot/data $HOME/data | |
| COPY --chown=user /app/aerospace_chatbot/config $HOME/config | |
| # Expose the port Streamlit runs on | |
| 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/src | |
| # 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"] | |
| # To run remotely | |
| # docker run -it -p 7860:7860 --platform=linux/amd64 \ | |
| # registry.hf.space/ai-aerospace-aerospace-chatbots:latest |