Deploying a Streamlit WebApp to Heroku using DAGsHub - KDnuggets

As a beginner, it's hard to realize how the end product of your project should look. You start with a basic machine learning pipeline, and as the project evolves, you adjust and enhance the components to meet your golden metric. To communicate your work with the world, you'd like to have a way for people to interact with the model and evaluate its performance. In this blog, we will be learning how to build a Streamlit application using only python and deploy it to a remote Heroku server. . We will use the Pneumonia-Classification project and showcase how to deploy its Streamlit app to the cloud.