| # Use an official Python runtime as a parent image | |
| FROM python:3.11.1 | |
| # Set the working directory in the container | |
| WORKDIR /usr/src/app | |
| # Install poetry | |
| RUN pip3 install poetry | |
| # Copy only the necessary files for installing dependencies | |
| COPY pyproject.toml poetry.lock ./ | |
| # Disable virtual environments creation by Poetry | |
| # as the Docker container itself is an isolated environment | |
| RUN poetry config virtualenvs.create false | |
| # Install dependencies | |
| # RUN pip3 install -r requirements.txt | |
| RUN poetry install | |
| # Copy the current directory contents into the container at /usr/src/app | |
| COPY . . | |
| # 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 | |
| # 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> |