Introducing Gradio ClientsJoin us on Thursday, 9am PST
LivestreamIntroducing Gradio ClientsJoin us on Thursday, 9am PST
LivestreamThe custom components workflow focuses on convention over configuration to reduce the number of decisions you as a developer need to make when developing your custom component. That being said, you can still configure some aspects of the custom component package and directory. This guide will cover how.
By default, all custom component packages are called gradio_<component-name>
where component-name
is the name of the component's python class in lowercase.
As an example, let's walkthrough changing the name of a component from gradio_mytextbox
to supertextbox
.
name
in the pyproject.toml
file. [project]
name = "supertextbox"
gradio_<component-name>
in pyproject.toml
to <component-name>
[tool.hatch.build]
artifacts = ["/backend/supertextbox/templates", "*.pyi"]
[tool.hatch.build.targets.wheel]
packages = ["/backend/supertextbox"]
gradio_<component-name>
directory in backend/
to <component-name>
mv backend/gradio_mytextbox backend/supertextbox
✍️ Tip: Remember to change the import statement in `demo/app.py`!
By default, only the custom component python class is a top level export.
This means that when users type from gradio_<component-name> import ...
, the only class that will be available is the custom component class.
To add more classes as top level exports, modify the __all__
property in __init__.py
from .mytextbox import MyTextbox
from .mytextbox import AdditionalClass, additional_function
__all__ = ['MyTextbox', 'AdditionalClass', 'additional_function']
You can add python dependencies by modifying the dependencies
key in pyproject.toml
dependencies = ["gradio", "numpy", "PIL"]
✍️ Tip: Remember to run `gradio cc install` when you add dependencies!
You can add JavaScript dependencies by modifying the "dependencies"
key in frontend/package.json
"dependencies": {
"@gradio/atoms": "0.2.0-beta.4",
"@gradio/statustracker": "0.3.0-beta.6",
"@gradio/utils": "0.2.0-beta.4",
"your-npm-package": "<version>"
}
By default, the CLI will place the Python code in backend
and the JavaScript code in frontend
.
It is not recommended to change this structure since it makes it easy for a potential contributor to look at your source code and know where everything is.
However, if you did want to this is what you would have to do:
Place the Python code in the subdirectory of your choosing. Remember to modify the [tool.hatch.build]
[tool.hatch.build.targets.wheel]
in the pyproject.toml
to match!
Place the JavaScript code in the subdirectory of your choosing.
Add the FRONTEND_DIR
property on the component python class. It must be the relative path from the file where the class is defined to the location of the JavaScript directory.
class SuperTextbox(Component):
FRONTEND_DIR = "../../frontend/"
The JavaScript and Python directories must be under the same common directory!
Sticking to the defaults will make it easy for others to understand and contribute to your custom component. After all, the beauty of open source is that anyone can help improve your code! But if you ever need to deviate from the defaults, you know how!