In the age of information overload, it’s easy to get lost in the large amount of content available online. YouTube offers billions of videos, and the internet is filled with articles, blogs, and academic papers. With such a large volume of data, it’s often difficult to extract useful insights without spending hours reading and watching. That’s where AI-powered web summarizer comes to the help.
In this article, Let’s make a Streamlit-based app using NLP and AI that summarizes YouTube videos and websites in very detailed summaries. This app uses Groq’s Llama-3.2 model and LangChain’s summarization chains to offer very detailed summaries, saving the reader time without missing any point of interest.
Learning Outcomes
This article was published as a part of the Data Science Blogathon.
From YouTube to webpage publications, or in-depth research articles, this vast repository of information is literally just around the corner. However, for most of us, the time factor rules out browsing through videos that run into several …