How to create a zero-shot learning text classifier using Hugging Face & Streamlit!

Today I'm excited to have the opportunity to contribute to the 30DaysofStreamlit challenge via this hands-on tutorial! We will create a zero-shot learning text classifier using Hugging Face's API inference and Distilbart! With it you will have the mighty power to classify keyphrases on-the-fly, fast, and without any ML training! You can set these labels dynamically to anything, e.g.: Zero-shot learning (ZSL) differs from traditional machine learning methods as it deals with the ability to recognise objects *without* any training samples. Yet it can build and train models efficiently with the help of transferring intelligence from previously seen categories and auxiliary information.