gradio/guides/readme_template.md
Abubakar Abid 4bee781da4
Guides Section and Redesign Parts of the Website (#490)
* added emojis to navbar; added guides main page

* Added guides list

* chatbot tutorial

* chatbot tutorial almost complete

* embedding chatbot

* fixed html rendering inside pre tags issue

* finished guide

* basic search

* search guides content

* design changes

* reading author and date

* sketchpad tutorial

* font change

* added version badge and spaces links

* sketch app

* auto meta images, removed date and author

* removed empty guides

* navbar separate; updated readme

* added navbar; fixed guide

* added flagging guide

* added related spaces to flagging guide

* added tags, small fixes

* footer design

Co-authored-by: Abubakar Abid <aaabid93@gmail.com>
Co-authored-by: Abubakar Abid <a12d@stanford.edu>
Co-authored-by: aliabd <ali.si3luwa@gmail.com>
2022-02-05 01:42:49 +04:00

2.7 KiB

CircleCI PyPI version codecov PyPI - Downloads Twitter Follow

Welcome to Gradio

Quickly create beautiful user interfaces around your machine learning models. Gradio (pronounced GRAY-dee-oh) makes it easy for you to demo your model in your browser or let people "try it out" by dragging-and-dropping in their own images, pasting text, recording their own voice, etc. and seeing what the model outputs.

Interface montage

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.

{% with code=code, demos=demos %} {% include "getting_started.md" %} {% endwith %}

System Requirements:

Gradio requires Python 3.7+ and has been tested on the latest versions of Windows, MacOS, and various common Linux distributions (e.g. Ubuntu). For Python package requirements, please see the setup.py file.

Contributing:

If you would like to contribute and your contribution is small, you can directly open a pull request (PR). If you would like to contribute a larger feature, we recommend first creating an issue with a proposed design for discussion. Please see our contributing guidelines for more info.

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: www.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}
}