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A newer version of the Gradio SDK is available: 5.6.0

Upgrade

@gradio/paramviewer

0.5.1

Dependency updates

0.4.22-beta.5

Dependency updates

0.4.22-beta.4

Dependency updates

0.4.22-beta.3

Dependency updates

0.4.22-beta.2

Dependency updates

0.4.22-beta.2

Dependency updates

0.4.22-beta.1

Features

  • #9187 5bf00b7 - make all component SSR compatible. Thanks @pngwn!

Dependency updates

0.4.22

Fixes

  • #9163 2b6cbf2 - fix exports and generate types. Thanks @pngwn!

Dependency updates

0.4.21

Features

  • #9118 e1c404d - setup npm-previews of all packages. Thanks @pngwn!

Dependency updates

0.4.20

Dependency updates

0.4.19

Dependency updates

0.4.18

Features

  • #8618 aa4b7a7 - Improve styling of parameter tables in the docs. Thanks @abidlabs!

Dependency updates

0.4.17

Features

  • #8744 b736c8d - Refactor gr.ParamViewer to use HTML <details> and other tweaks. Thanks @abidlabs!

Dependency updates

0.4.16

Dependency updates

0.4.15

Dependency updates

0.4.15

Dependency updates

0.4.14

Dependency updates

0.4.13

Dependency updates

0.4.12

Dependency updates

0.4.11

Dependency updates

0.4.10

Dependency updates

0.4.9

Fixes

  • #8066 624f9b9 - make gradio dev tools a local dependency rather than bundling. Thanks @pngwn!

Dependency updates

0.4.8

Dependency updates

0.4.7

Dependency updates

0.4.6

Dependency updates

0.4.5

Dependency updates

0.4.4

Patch Changes

0.4.3

Patch Changes

0.4.2

Patch Changes

0.4.1

Patch Changes

0.4.0

Features

Fixes

0.3.0

Highlights

Custom component documentation generator (#7030 3a944ed)

If your custom component has type hints and docstrings for both parameters and return values, you can now automatically generate a documentation page and README.md with no additional effort. Simply run the following command:

gradio cc docs

This will generate a Gradio app that you can upload to spaces providing rich documentation for potential users. The documentation page includes:

  • Installation instructions.
  • A live embedded demo and working code snippet, pulled from your demo app.
  • An API reference for initialising the component, with types, default values and descriptions.
  • An explanation of how the component affects the user's predict function inputs and outputs.
  • Any additional interfaces or classes that are necessary to understand the API reference.
  • Optional links to GitHub, PyPi, and Hugging Face Spaces.

A README will also be generated detailing the same information but in a format that is optimised for viewing on GitHub or PyPi!

Thanks @pngwn!

Features