gradio 2.7.0


Python library for easily interacting with trained machine learning models

Python library for easily interacting with trained machine learning models

Stars: 4760, Watchers: 4760, Forks: 304, Open Issues: 38

The gradio-app/gradio repo was created 3 years ago and was last updated 19 minutes ago.
The project is very popular with an impressive 4760 github stars!

How to Install gradio

You can install gradio using pip

pip install gradio

or add it to a project with poetry

poetry add gradio

Package Details

Abubakar Abid, Ali Abid, Ali Abdalla, Dawood Khan, Ahsen Khaliq
Apache License 2.0
GitHub Repo


No  gradio  pypi packages just yet.


A list of common gradio errors.

No  gradio  errors just yet.

Code Examples

Here are some gradio code examples and snippets.

No  gradio  code examples just yet.

GitHub Issues

The gradio package as 38 open issues on GitHub

  • Embedded demos overflow on homepage
  • Migration of backend from Flask to FastAPI/Starlette
  • Missing Type Hints
  • It will be better, if queue no. is shown before submit button.
  • State isn't working
  • Enable Markdown in Description
  • Investigate enable_queue
  • Optional inputs should be designated as such in the UI
  • Drawing on the sketchpad is buggy
  • Allow users to limit Audio/Video components to X seconds
  • Getting-Started Doc "Using State" paragraph doesn't use CSS from code
  • Model output to render mesh model in 3d viewer (gltf / glb / obj)
  • Audio output does not show in a screenshot
  • Gradio doesn't automatically create a shareable link in sagemaker
  • Screenshot button is buggy

See more issues on GitHub

See Also

pytorch-lightning 1.5.8

PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.