Utilizing Pretrained Models to Create Specialized and Personalized Web Applications

So far, we have used Streamlit’s components and libraries, made in Python, to create and build up our web application. However, with Streamlit, we can do even more.

This incredible framework is extremely powerful when used with artificial intelligence (AI) models to make predictions. Developing machine learning (ML) models or neural networks is something very complex and outside the scope of this book, but considering that there are a lot of pretrained models available that perform well to provide solutions for many different use cases, knowing how to use them in our web application to increase their effectiveness and usefulness is something very important.

Simply put, importing and using pretrained ML models in Streamlit is an advanced technique for creating very powerful web applications. Users can import any kind of pretrained model and use it to make predictions on new data within their...