Share your Projects even more easily with this New Streamlit Feature

A Machine Learning project is never really complete if we don’t have a good way to showcase it.

While in the past, a well-made visualization or a small PPT used to be enough for showcasing a data science project, with the advent of dashboarding tools like RShiny and Dash, a good data scientist needs to have a fair bit of knowledge of web frameworks to get along.

As Sten Sootla says in his satire piece which I thoroughly enjoyed:

The secret: it’s not what you know, it’s what you show.

This is where StreamLit comes in and provides a way to create web apps just using Python. I have been keeping close tabs on this excellent product for the past few months. In my last few posts, I talked about Working with Streamlit and how to Deploy the streamlit app using ec2 . I have also been in constant touch with the Streamlit team while they have been working continuously to make the user experience even better by releasing additional features.

So, have you ever had a problem with explaining how the app …