Description #
Gradio is a Python framework that enables developers and data scientists to quickly create and share interactive machine learning web applications. It simplifies deploying AI demos with minimal coding by generating customizable UIs for models.
History #
Gradio was launched in 2019 by Abubakar Abid and others to help bridge the gap between AI research and practical applications. It gained rapid adoption for building easy-to-use interfaces for AI models in research and industry.
Hello World Code #
import gradio as gr
def greet(name):
return f"Hello, {name}!"
iface = gr.Interface(fn=greet, inputs="text", outputs="text")
iface.launch()How to Run #
Option 1: Online
Try Gradio on Gradio Spaces.
Option 2: Local
- Install with pip:
pip install gradio- Run the Python script containing the example code.
Key Concepts #
- Rapid creation of ML model UIs
- Supports inputs/outputs: text, images, audio, video
- Easy web sharing with auto-hosting options
- Customizable UI components
- Integration with Hugging Face and other ML libraries
- Supports asynchronous function execution
- Interactive widgets for demos and testing
- Open-source with an active community
- Ideal for prototyping AI apps
- Embeddable in other web frameworks
Try It Online #
Fun Facts #
- Gradio powers thousands of AI demos on Hugging Face Spaces.
- Its simple API helps non-web developers showcase AI models.
- Supports collaborative demos with sharing links.
- Used by researchers to accelerate AI model adoption.
- Gradio merged with Hugging Face in 2021 to expand its ecosystem.
