Gradio — Build ML Demos & AI Apps in Python

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:

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:

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.

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.