Build and Deploy a Multi-File RAG App to the Web | by Thomas Reid

Part 2 — Deploying to the web using Hugging Face Spaces

This is the second of a two-part series of articles on building and deploying a Gradio AI-based web application.

This part is all about how to deploy your finished app to the world wide web using Hugging Face Spaces.

PS. If you want a sneak peek at the deployed app on Hugging Face Spaces, click on this link

I’ve talked about Gradio before in many of my articles. In my opinion, it’s one of the easiest ways to build a GUI app on top of your Python code.

If Gradio is completely new to you, or you’re only vaguely aware of it, I suggest checking out my article below where I introduce who they are and what they do. I also show some small sample code snippets showing Gradio in action.

In a previous article, I took you through the process of building a Mutli-file RAG chat app that can upload, read and analyse various document formats including PDF, Text, Microsoft Word and Excel files…