Transform Your ML Models into Interactive Web Apps with Gradio

What is Gradio?

Gradio is an open-source Python package that enables quick construction of demos or web applications for machine learning models, APIs, or any Python function.

It also provides built-in sharing features for easy distribution, requiring no JavaScript, CSS, or web hosting experience.

It is used by big players such as Google, Facebook, Amazon, Cisco, VMWare, SIEMENS, and more.

It works well with Python web frameworks such as Flask and Django.

How does it work?

Gradio allows Machine Learning engineers to quickly create web interfaces for machine learning models. It is compatible with any Python library and can be installed using pip.

Gradio interfaces can be embedded in Python notebooks or presented as webpages, and can generate public links for remote interaction. Interfaces can also be permanently hosted on Hugging Face Spaces.

Install

pip install gradio

Build Your First Demo

You can run Gradio in your favorite code editor, Jupyter notebook, Google Colab, or anywhere else you write Python. Let's write your first Gradio app:

import gradio as gr

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

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

demo.launch()

License

Apache-2.0 License

Resources & Downloads

• Source-code
• Home

GitHub - gradio-app/gradio: Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work! - gradio-app/gradio

GitHubgradio-app

Gradio

Build & Share Delightful Machine Learning Apps

Gradio Team