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. You are like yaaaaaaaaay! My model performed well.

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.

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