Deployment using Streamlit Sharing
Explore how to deploy your Streamlit applications using Streamlit Sharing in this lesson. Learn to prepare requirements, upload your code to GitHub, and launch your web app so it becomes accessible online. Gain practical steps to share your machine learning front-end apps with ease and keep them updated automatically.
In previous chapters, we built a GitHub web scraper and a KNN classification model from scratch and used Streamlit for UI.
However, if we can’t show our web apps in a visually impressive way, then what would be the point?
In this chapter, we’ll learn how to deploy our machine learning web app using Streamlit Sharing.
Streamlit sharing
Streamlit Sharing is a service provided by Streamlit to easily deploy our application. Below, we will walk over the steps in the deployment process ...