# Gradio — Build ML Demos & AI Apps in Python

> Python library for building interactive ML demos and AI web apps. Chat interfaces, file upload, image/audio/video I/O. Share with public link. 42K+ stars.

## Install

Save in your project root:

## Quick Use

```bash
pip install gradio
```

```python
import gradio as gr

def greet(name):
    return f"Hello, {name}!"

gr.Interface(fn=greet, inputs="text", outputs="text").launch()
```

Open `http://localhost:7860` — shareable with a public link via `share=True`.

---

## Intro

Gradio is the standard Python library for building interactive ML demos and AI web applications. Create chat interfaces, image generators, audio processors, and data tools with a few lines of Python — no frontend code needed. Used by Hugging Face, Stability AI, and thousands of ML projects. Automatically generates a web UI and optional public share link. 42,000+ GitHub stars, Apache 2.0.

**Best for**: ML engineers and researchers who need a quick web interface for their models
**Works with**: Any Python ML library — PyTorch, TensorFlow, Hugging Face, OpenAI, Anthropic, Ollama

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## Key Features

### Pre-Built Components
30+ I/O components: Textbox, Chatbot, Image, Audio, Video, File, DataFrame, Plot, Code, Markdown, and more.

### Chat Interface
Production-ready chat UI in 3 lines:
```python
gr.ChatInterface(fn=my_llm_function).launch()
```

### Streaming
Real-time streaming for LLM responses, audio, and video.

### Blocks API
Full layout control for complex multi-component apps:
```python
with gr.Blocks() as demo:
    with gr.Row():
        input = gr.Textbox()
        output = gr.Textbox()
    btn = gr.Button("Submit")
    btn.click(fn=process, inputs=input, outputs=output)
```

### Sharing
`demo.launch(share=True)` generates a public URL — share your app instantly without deployment.

### Hugging Face Spaces
Deploy Gradio apps to Hugging Face Spaces for free permanent hosting.

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### FAQ

**Q: What is Gradio?**
A: A Python library for building ML demos and AI web apps with interactive UIs. Chat, images, audio, video — no frontend code needed. 42K+ stars, used by Hugging Face.

**Q: How is Gradio different from Streamlit?**
A: Gradio is ML-focused with specialized components (image/audio/video I/O, model inference). Streamlit is broader for data apps. Gradio has native Hugging Face Spaces integration.

---

## Source & Thanks

> Created by [Gradio](https://github.com/gradio-app). Licensed under Apache 2.0.
> [gradio-app/gradio](https://github.com/gradio-app/gradio) — 42,000+ GitHub stars

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Source: https://tokrepo.com/en/workflows/b30caf4b-a9a8-4379-b1c6-bc8f5cf5cce3
Author: AI Open Source