[

gradio

](https://gradio.app)
[![gradio-backend](https://github.com/gradio-app/gradio/actions/workflows/backend.yml/badge.svg)](https://github.com/gradio-app/gradio/actions/workflows/backend.yml) [![gradio-ui](https://github.com/gradio-app/gradio/actions/workflows/ui.yml/badge.svg)](https://github.com/gradio-app/gradio/actions/workflows/ui.yml) [![PyPI](https://img.shields.io/pypi/v/gradio)](https://pypi.org/project/gradio/) [![PyPI downloads](https://img.shields.io/pypi/dm/gradio)](https://pypi.org/project/gradio/) ![Python version](https://img.shields.io/badge/python-3.10+-important) [![Twitter follow](https://img.shields.io/twitter/follow/gradio?style=social&label=follow)](https://twitter.com/gradio) [Website](https://gradio.app) | [Documentation](https://gradio.app/docs/) | [Guides](https://gradio.app/guides/) | [Getting Started](https://gradio.app/getting_started/) | [Examples](demo/) | [中文](readme_files/zh-cn#readme)

# Gradio: Build Machine Learning Web Apps — in Python $getting_started ## Questions? If you'd like to report a bug or have a feature request, please create an [issue on GitHub](https://github.com/gradio-app/gradio/issues/new/choose). For general questions about usage, we are available on [our Discord server](https://discord.com/invite/feTf9x3ZSB) and happy to help. If you like Gradio, please leave us a ⭐ on GitHub! ## Open Source Stack Gradio is built on top of many wonderful open-source libraries! [

huggingface

](https://huggingface.co) [ python

python

](https://www.python.org) [ fastapi

fastapi

](https://fastapi.tiangolo.com) [ encode

encode

](https://www.encode.io) [ svelte

svelte

](https://svelte.dev) [ vite

vite

](https://vitejs.dev) [ pnpm

pnpm

](https://pnpm.io) [

tailwind

](https://tailwindcss.com) [

storybook

](https://storybook.js.org/) [

chromatic

](https://www.chromatic.com/) ## License Gradio is licensed under the Apache License 2.0 found in the [LICENSE](LICENSE) file in the root directory of this repository. ## Citation Also check out the paper _[Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild](https://arxiv.org/abs/1906.02569), ICML HILL 2019_, and please cite it if you use Gradio in your work. ``` @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}, } ```