gradio/readme_template.md

Build & share delightful machine learning apps easily

Gradio: Build Machine Learning Web Apps — in Python

Gradio is an open-source Python library that is used to build machine learning and data science demos and web applications.

With Gradio, you can quickly create a beautiful user interface around your machine learning models or data science workflow and let people "try it out" by dragging-and-dropping in their own images, pasting text, recording their own voice, and interacting with your demo, all through the browser.

Gradio is useful for:

• Demoing your machine learning models for clients / collaborators / users / students

• Deploying your models quickly with automatic shareable links and getting feedback on model performance

• Debugging your model interactively during development using built-in manipulation and interpretation tools

You can find an interactive version of the following Getting Started at https://gradio.app/getting_started.

$getting_started

System Requirements:

• Python 3.7+

Open Source Stack

Gradio is built with many wonderful open-source libraries, please support them as well!

License:

Gradio is licensed under the Apache License 2.0

See more:

You can find many more examples as well as more info on usage on our website: https://gradio.app

See, also, the accompanying paper: "Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild", ICML HILL 2019, and please use the citation below.

@article{abid2019gradio,
title={Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild},
author={Abid, Abubakar and Abdalla, Ali and Abid, Ali and Khan, Dawood and Alfozan, Abdulrahman and Zou, James},
journal={arXiv preprint arXiv:1906.02569},
year={2019}
}