Gradio

// Overview

Gradio is an open-source Python package that lets you build a demo or web app for a machine learning model, an API, or any Python function. It takes only a few lines of code, and you don't need any JavaScript, CSS, or web hosting experience.

It's aimed at ML engineers, researchers, and developers who want to put a UI in front of a function so others can try it. You wrap your function with a Gradio interface, pick input and output components, and Gradio renders the full web page for you.

As a data app builder, Gradio focuses on quick, model-facing demos. It ships more than 30 built-in components for common ML inputs and outputs (text, images, audio, and more) and includes a built-in sharing feature that creates a public link for your running app.

// What it does

• Wrap any Python function in a web UI with the gr.Interface class
• Over 30 built-in components for inputs and outputs, including Textbox, Image, and HTML
• One-line public sharing: set share=True in launch() to get a public URL
• Runs anywhere you write Python: code editor, Jupyter notebook, or Google Colab
• Hot reload mode: run with the gradio command instead of python to auto-reload on file changes
• No JavaScript, CSS, or web hosting experience required

// Getting started

Install Gradio with pip, then write a short Python script that wraps a function in an Interface and launches it.

pip install --upgrade gradio

import gradio as gr

def greet(name, intensity):
    return "Hello, " + name + "!" * int(intensity)

demo = gr.Interface(
    fn=greet,
    inputs=["text", "slider"],
    outputs=["text"],
    api_name="predict"
)

demo.launch()

python app.py

demo.launch(share=True)

Commands and code are distilled from the project's own documentation — always check the official repo for the latest.

// When to use it

• Put an interactive demo in front of a machine learning model so non-developers can try it in a browser
• Share a quick prototype with collaborators or reviewers using a temporary public link
• Build a simple UI for an API or any Python function without writing frontend code
• Demo a model inside a Jupyter notebook or Google Colab for teaching or experimentation

// How Gradio compares

Gradio alongside other open-source data app builders tools AI/TLDR tracks, ranked by GitHub stars.