gradio/CONTRIBUTING.md
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Update CONTRIBUTING.md to emphasize that primarily AI-generated contributions are not welcome (#9873)
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Co-authored-by: Abubakar Abid <abubakar@huggingface.co>

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Co-authored-by: Abubakar Abid <abubakar@huggingface.co>
2024-10-30 21:21:57 -07:00

13 KiB

Contributing to Gradio

GitHub issues by-label

More than 300 awesome developers have contributed to the gradio library, and we'd be thrilled if you would like to be the next contributor!

Prerequisites:

Steps to Contribute:

Generally speaking, contributing to Gradio involves four steps:

  1. Identify a good issue to contribute to (such as any of the issues tagged with "good first issue")
  2. Setup Gradio locally
  3. Understand the structure of the codebase & make the changes to the codebase locally
  4. Open a pull request (PR) to upstream your changes to the Gradio repository

Note: We welcome meaningful contributions that solve real issues and improve the codebase. Please avoid opening PRs with content generated primarily by AI language models. All contributions should demonstrate clear understanding of the problem being solved and be consistent with the relevant sections of the Gradio codebase.

You can watch this short video walkthrough of how to contribute, or keep reading below:

🏡 Setup Gradio locally

There are a few ways to install and run Gradio.

🛠️ Install Gradio from main

  • Clone this repo
  • Navigate to the repo directory and run:
bash scripts/install_gradio.sh
  • Run the frontend (only required if you are making changes to the frontend and would like to preview them)
bash scripts/run_frontend.sh
  • Install test requirements (only required if you want to run tests locally)

(Note that it is highly recommended to use a virtual environment running Python 3.10 since the versions of Gradio's dependencies are pinned)

bash scripts/install_test_requirements.sh

If you have a different Python version and conflicting packages during the installation, please first run:

bash scripts/create_test_requirements.sh

📦 Using dev containers

Instead of installing Gradio locally, you can alternatively use dev containers. This is supported on all platforms (macOS/Windows/Linux), as well as on GitHub Codespaces.

Prerequisites:

Steps:

  • Clone repository
  • Open it in your editor
  • For VS Code, execute Dev Containers: Reopen in container command

For detailed instructions, please see the Dev Containers tutorial.

🧱 Structure of the Repository

If you're a newcomer to Gradio, we recommend getting familiar with the overall structure of the repository so that you can focus on the part of the source code you'd like to contribute to.

  • /gradio: contains the Python source code for the library
    • /gradio/interface.py: contains the Python source code for the core Interface class
    • /gradio/blocks.py: contains the Python source code for the core Blocks class
    • /gradio/components/: the directory that contains the Python source code for all of the Gradio components.
  • /test: contains Python unit tests for the library
  • /js: contains the HTML/JS/CSS source code for the library, including the fronted code for each component in a separate directory
    • /js/_website: contains the code for the Gradio website (www.gradio.app). See the README in the /js/_website folder for more details
  • /guides: the written guides and tutorials that are found on Gradio's website.

🚀 Run a Gradio app

You can get started by creating an app.py file in the root:

import gradio as gr

with gr.Blocks() as demo:
   gr.Button()
    
if __name__ == "__main__":
   demo.launch()

then run:

gradio app.py

This will start the backend server in reload mode, which will watch for changes in the gradio folder and reload the app if changes are made. By default, Gradio will launch on port 7860. You can also just use python app.py, but this won't automatically trigger updates.

If you're making frontend changes, start the frontend server:

bash scripts/run_frontend.sh

This will open a separate browser tab. By default, Gradio will launch this on port 9876. Any changes to the frontend will also reload automatically in the browser. For more information about developing in the frontend, you can refer to js/README.md.

We also have demos of all our components in the /gradio/demo directory. To get our simple gradio Chatbot running locally:

gradio demo/chatbot_simple/run.py

🧪 Testing

We use Pytest, Playwright and Vitest to test our code.

  • The Python tests are located in /test. To run these tests:
bash scripts/run_all_tests.sh
  • The frontend unit tests are any defined with the filename *.test.ts. To run them:
pnpm test
  • Browser tests are located in js/spa/test and are defined as *spec.ts files. To run browser tests:
pnpm test:browser

To build the frontend code before running browser tests:

pnpm test:browser:full

You can also run browser tests in the UI mode by adding the --ui flag:

pnpm test:browser --ui

If you have made any significant visual changes to a component, we encourage you to add a new Storybook story or amend an existing one to reflect them. You can create a new story with a *.stories.svelte file. You can run the storybook locally:

pnpm storybook

✍️ Gradio Website & Docs

We also welcome any contributions to our website and docs.

Building The Website

All of the website code lives in the js/_website/ directory.

To start the website on dev mode simply cd into this directory and run:

pnpm i 
pnpm dev

This will serve the website on http://localhost:5173/ (or the next available port).

When you're done with changes and want to build the website you can run:

pnpm build && pnpm preview 

This will serve the website on http://localhost:4173/ (or the next available port).

Documentation

API Reference

Gradio's API reference is built from templates written in mdsvex. You can find all the templates in this directory:

js/_website/src/lib/templates/gradio

The templates directory is structured as follows:

├── gradio/
│   ├── 01_building-demos/
│   │   ├── 01_interface.svx
│   │   ├── 02_chatinterface.svx
│   │   ├── 03_tabbedinterface.svx
│   │   ├── 04_blocks.svx
│   ├── 02_blocks-layout/
│   ├── 03_components/
│   ├── 04_helpers/
│   ├── 05_modals/
│   ├── 06_routes/
│   ├── other/

This structure defines the pages' ordering. You can use a numeral prefix (XX_) before a name to dictate where a page is listed, but it's otherwise ignored in the url route. Note that the folder names (01_building-demos, etc) are only used for the navbar and are not in the url.

The mdsvex files use a combination of markdown and svelte. They also pull documentation directly from the source code. Adding a @document() wrapper around any class or function in the source code will make its docstrings available in the templates.

Here's an example: the template for Image docs is here. You can see the initialization section references obj.parameters. So to edit the description of a parameter you'll have to edit the docstring in the source code. But the page also includes a section titled 'GIF and SVG Image Formats' which is written in plain markdown and can be edited directly on the template.

If you are making changes to docstrings and want to see them on the website you have to make sure you're on an editable install of the gradio library. Just run this command from root:

pip install -e . 

And then from the website directory:

pnpm dev

Guides

Guides like Quickstart are built from this directory: /guides. The directory follows the same structure as the API reference templates, with nested folders and numerical prefixes for ordering, but the files are standard markdown files. After adding a new guide, or editing an existing one, to see the changes on the website make sure you are on an editable install of the gradio library. Run this command from root:

pip install -e . 

and then from the website directory:

pnpm dev

Main vs Released

The website supports documentation for both the latest released version on pypi as well as the main build on github. You can switch between them on the website by using the toggle on any page or by prefixing '/main' before the route in the url. For example: https://www.gradio.app/main/guides/quickstart

If you're making changes to documentation and are wondering why they're not showing up, make sure you're looking at the 'main' version of the page. Since they haven't been included in a release yet, they will only be visible there.

🌎 Gradio-Lite

Gradio-Lite is a Pyodide-based library that lets you run Gradio serverless (in other words, directly in your browser).

You can start the development server by running:

bash scripts/run_lite.sh

If you make changes to the Python code during development, you will need to rebuild the Python packages loaded to Graio-Lite. To do this, run:

pnpm --filter @gradio/lite pybuild

To generate the release build, run:

bash scripts/build_lite.sh

The release build will be located in the dist directory in the js/lite project. To test it, you can run a local server in the js/lite directory:

python -m http.server --directory js/lite

and navigate to http://localhost:8000 in your browser. The demo page index.html located in the js/lite directory will be loaded.

📮 Submitting PRs

All PRs should be submitted against main, and ideally should address an open issue, unless the change is small. Direct commits to main are blocked, and PRs require an approving review to merge into main. By convention, the Gradio maintainers will review PRs when:

  • An initial review has been requested
  • A clear, descriptive title has been assigned to the PR
  • A maintainer (@abidlabs, @aliabid94, @aliabd, @AK391, @dawoodkhan82, @pngwn, @freddyaboulton, @hannahblair, @hysts, @whitphx) is tagged in the PR comments and asked to complete a review

🧹 We ask that you make sure initial CI checks are passing before requesting a review. One of the Gradio maintainers will merge the PR when all the checks are passing. You can safely ignore the Vercel and Spaces checks, which only run under maintainers' pull requests.

Don't forget to format your code before pushing:

bash scripts/format_backend.sh

And if you made changes to the frontend:

bash scripts/format_frontend.sh

Thank you for taking the time to contribute to Gradio!

Need help getting started?

  • Browse issues with the "good first issue" label. These are issues we think are good for newcomers.
  • Ask the Gradio community in our Discord
  • Raise an issue for a feature or a bug you want to tackle

🚧 Troubleshooting

ERROR: Error loading ASGI app. Could not import module "<filename>"

Verify that you've used the correct filename of your gradio app, and that you're in the directory of the file.


ERR_PNPM_RECURSIVE_RUN_FIRST_FAIL @self/spa@1.0.0 build:local: vite build --mode production:local --emptyOutDir "--emptyOutDir"

Delete /node_modules and pnpm-lock.yaml:

rm -rf node_modules/
rm pnpm-lock.yaml

and run the install scripts:

bash scripts/install_gradio.sh
bash scripts/build_frontend.sh

FATAL ERROR: Ineffective mark-compacts near heap limit Allocation failed - JavaScript heap out of memory when running scripts/build_frontend.sh.

Run scripts/build_frontend.sh with the environment variable NODE_OPTIONS=--max_old_space_size=2048 to increase the heap size.


Could these guidelines be clearer? Feel free to open a PR to help us facilitate open-source contributions!