Author(s): Prisca Ekhaeyemhe

Originally published on Towards AI.

A hands-on guide to building your first AI app using Hugging Face and Gradio — no prior experience needed.

Have you ever wished you could quickly extract the key takeaways from a podcast, meeting recording, or audiobook without listening to the whole thing? In this article, you’ll learn how to transcribe audio files and summarize the transcripts using Large Language Models (LLMs) from Hugging Face. I’ll also show how to build a user-friendly UI with Gradio and deploy your app on Hugging Face Spaces. If you’ve never used Google Colab before, don’t worry, I’ll walk you through it!

This article provides a hands-on tutorial on building an AI app for audio transcription and summarization using Hugging Face and Gradio. It guides you through collecting audio, transcribing it with the Whisper model, and generating concise summaries using Large Language Models. Additionally, it covers the setup of Google Colab for development, explains essential requirements, and details deployment steps for the app, ensuring that even beginners can follow along without prior experience.

Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI