[

](https://gradio.app)
Build & share delightful machine learning apps easily [

](https://circleci.com/gh/gradio-app/gradio) [

](https://app.codecov.io/gh/gradio-app/gradio) [![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-3.7+-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/)

# 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. ![Interface montage](readme_files/header-image.jpg) 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. $getting_started ## Open Source Stack Gradio is built with many wonderful open-source libraries, please support them as well! [

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

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

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

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

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

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

](https://pnpm.io) [

](https://tailwindcss.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}, } ```