How to Deploy a Machine Learning Model as a Web App Using Gradio

You've built your Machine Learning model with 99% accuracy and now you are ecstatic. Then you paused and you were like – now what? Well first, you might have thought of uploading your code to GitHub and showing people your Jupyter notebook file. It comprises those gorgeous-looking visualizations you created using Seaborn, those extremely powerful ensemble models, and how they are able to pass their evaluation metrics and so on. But then you noticed that no one is interacting with it.