Learn how to build an AI-powered video search application for YouTube content in this 22-minute tutorial. Explore the integration of AI-powered search technology with the vast library of YouTube videos, creating a powerful tool for accessing and analyzing billions of hours of content. Follow along as the instructor guides you through the process of gathering data, enhancing it with additional metadata, and implementing advanced search capabilities using Hugging Face and Pinecone. Discover techniques for scraping metadata, indexing information, and querying the data effectively. By the end of this tutorial, you'll have the skills to create a Streamlit app that leverages AI to revolutionize how users search and interact with YouTube content.
Overview
Syllabus
Intro
YouTube Search App
Getting Data
Enhancing the Data
Scraping Other Metadata
Loading Data from Hugging Face
Index and Query the Data
Streamlit App Code
Taught by
James Briggs
