This repo contains some simple projects I ran to see how the Streamlit module can be used along with sklearn to train a model and provide a user-friendly interface for testing.
The Penguin classifier is basically a fork of Chanin Nantasenamat's example.
The Breast Cancer Recurrence classifier is a modification of the same classifier to try a different dataset.
Live link for Breast Cancer Recurrence classifier
To run a demo install the python modules:
pip install streamlit pandas numpy scikit-learn
Now enter one of the directories and run any of the following:
streamlit run breast_cancer_webapp.py
OR
streamlit run pwebapp.py