gradio-tooltipbutton 0.0.1

Python library for easily interacting with trained machine learning models

---

tags: [gradio-custom-component, Button] title: gradio_tooltipbutton short_description: A gradio custom component colorFrom: blue colorTo: yellow sdk: gradio pinned: false app_file: space.py

gradio_tooltipbutton

Python library for easily interacting with trained machine learning models

Installation

pip install gradio_tooltipbutton

Usage

import gradio as gr
from gradio_tooltipbutton import TooltipButton


example = TooltipButton().example_value()

demo = gr.Interface(
    lambda x: x,
    TooltipButton(tooltip="test"),  # interactive version of your component
    TooltipButton(),  # static version of your component
    # examples=[[example]],  # uncomment this line to view the "example version" of your component
)


if __name__ == "__main__":
    demo.launch()

TooltipButton

Initialization

name	type	default	description
value	str | Callable	"Run"	Default text for the button to display. If callable, the function will be called whenever the app loads to set the initial value of the component.
every	Timer | float | None	None	Continously calls `value` to recalculate it if `value` is a function (has no effect otherwise). Can provide a Timer whose tick resets `value`, or a float that provides the regular interval for the reset Timer.
inputs	Component | Sequence[Component] | set[Component] | None	None	Components that are used as inputs to calculate `value` if `value` is a function (has no effect otherwise). `value` is recalculated any time the inputs change.
variant	Literal["primary", "secondary", "stop"]	"secondary"	'primary' for main call-to-action, 'secondary' for a more subdued style, 'stop' for a stop button.
size	Literal["sm", "lg"] | None	None	Size of the button. Can be "sm" or "lg".
icon	str | None	None	URL or path to the icon file to display within the button. If None, no icon will be displayed.
link	str | None	None	URL to open when the button is clicked. If None, no link will be used.
visible	bool	True	If False, component will be hidden.
interactive	bool	True	If False, the TooltipButton will be in a disabled state.
elem_id	str | None	None	An optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles.
elem_classes	list[str] | str | None	None	An optional list of strings that are assigned as the classes of this component in the HTML DOM. Can be used for targeting CSS styles.
render	bool	True	If False, component will not render be rendered in the Blocks context. Should be used if the intention is to assign event listeners now but render the component later.
key	int | str | None	None	if assigned, will be used to assume identity across a re-render. Components that have the same key across a re-render will have their value preserved.
scale	int | None	None	relative size compared to adjacent Components. For example if Components A and B are in a Row, and A has scale=2, and B has scale=1, A will be twice as wide as B. Should be an integer. scale applies in Rows, and to top-level Components in Blocks where fill_height=True.
min_width	int | None	None	minimum pixel width, will wrap if not sufficient screen space to satisfy this value. If a certain scale value results in this Component being narrower than min_width, the min_width parameter will be respected first.
tooltip	str	None	None

Events

name	description
click	Triggered when the TooltipButton is clicked.

User function

The impact on the users predict function varies depending on whether the component is used as an input or output for an event (or both).

• When used as an Input, the component only impacts the input signature of the user function.
• When used as an output, the component only impacts the return signature of the user function.

The code snippet below is accurate in cases where the component is used as both an input and an output.

• As output: Is passed, (Rarely used) the str corresponding to the button label when the button is clicked.
• As input: Should return, string corresponding to the button label.

def predict(
    value: str | None
) -> str | None:
    return value