Streamlit is an open-source Python library that makes it easy to build beautiful apps for machine learning. (taken from: https://streamlit.io⁠) This docker image makes it easier for users to create streamlit apps by encapsulating streamlit in Docker and providing useful examples.

Dockerfile and other files are located here: https://github.com/MrTomerLevi/streamlit-docker/⁠

Running Streamlit docker built-in examples

You can learn how to use streamlit by exploring 3 scripts (packed inside the docker image):

docker run -it -p 8501:8501 tomerlevi/streamlit-docker /examples/intro.py
docker run -it -p 8501:8501 tomerlevi/streamlit-docker /examples/plot_example.py
docker run -it -p 8501:8501 tomerlevi/streamlit-docker /examples/uber_nyc_data_explorer.py

Once streamlit is running, open your browser and navigate to: http://localhost:8501⁠

Running your own streamlit script

docker run -it -p 8501:8501 -v <local-scripts-folder>:/app tomerlevi/streamlit <relative-path-to-a-script>

Example: docker run -it -p 8501:8501 -v ~/workspace/streamlit-scripts:/app tomerlevi/streamlit src/main.py

NOTE: you can open the script you passed () in your favorite text editor and edit it, streamlit will pickup changes once you refresh your browser tab.

Build

Clone the repo: git clone git@github.com:MrTomerLevi/streamlit-docker.git

Change dir into the project: cd streamlit-docker

Optional: You can add your required PyPi packages to the requirements.txt

Run docker build: docker build -t tomerlevi/streamlit-docker .