DuckDB + Hugging Face Workshop

AI-Powered Review Analysis with DuckDB and Hugging Face: Build an Automated Customer Feedback Pipeline

\\ HANDS-ON WORKSHOP, BRING YOUR LAPTOP! \\

Ratings are slipping, thousands of reviews are piling up, and nobody knows why. In this hands-on workshop, you’ll build a pipeline that finds out automatically.

Working with 2.1 million real Amazon reviews from the Hugging Face Hub, you’ll use DuckDB to pinpoint which products are declining. Then you’ll connect that SQL to an LLM with Gradio’s `gr.Workflow`, so the model reads only the complaints that matter and reports the themes behind them. Finally, you’ll deploy it as a live Hugging Face Space, backed by Storage Buckets and callable as an API.

You’ll leave with a working app and a pattern you can apply to your own customer data!

Speaker: Pratik Patel is an AI Data Engineer and Developer Advocate at Hugging Face. He has written 3 books on programming, Cloud and OSS. An all around software and hardware nerd with experience in the healthcare, telecom, financial services, and startup sectors. He's co-organizer of Enterprise AI Atlanta and the Atlanta Java User Group, and conference chairperson for Devnexus. He also writes about his knowledge (and adventures) in tech, is a frequent speaker at tech events, and master builder of nachos.