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](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"](https://arxiv.org/pdf/1906.02569.pdf), *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}
}
```