AI Apps in a Flash with Gradio's Reload Mode

In this post, I will show you how you can build a functional AI application quickly with Gradio's reload mode. But before we get to that, I want to explain what reload mode does and why Gradio implements its own auto-reloading logic. If you are already familiar with Gradio and want to get to building, please skip to the third section.

What Does Reload Mode Do?

To put it simply, it pulls in the latest changes from your source files without restarting the Gradio server. If that does not make sense yet, please continue reading.

Gradio is a popular Python library for creating interactive machine learning apps. Gradio developers declare their UI layout entirely in Python and add some Python logic that triggers whenever a UI event happens. It's easy to learn if you know basic Python. Check out this quickstart if you are not familiar with Gradio yet.

Gradio applications are launched like any other Python script, just run python app.py (the file with the Gradio code can be called anything). This will start an HTTP server that renders your app's UI and responds to user actions. If you want to make changes to your app, you stop the server (typically with Ctrl + C), edit your source file, and then re-run the script.

Having to stop and relaunch the server can introduce a lot of latency while you are developing your app. It would be better if there was a way to pull in the latest code changes automatically so you can test new ideas instantly.

That's exactly what Gradio's reload mode does. Simply run gradio app.py instead of python app.py to launch your app in reload mode!

Why Did Gradio Build Its Own Reloader?

Gradio applications are run with uvicorn, an asynchronous server for Python web frameworks. Uvicorn already offers auto-reloading but Gradio implements its own logic for the following reasons:

I will now show you how you can use Gradio reload mode to quickly build an AI App.

Building a Document Analyzer Application

This creates the following simple UI.

Here is our demo in action!