Components
Label

New to Gradio? Start here: Getting Started

To install Gradio from main, run the following command:

pip install https://gradio-builds.s3.amazonaws.com/02798ec170be7c9e8756dec24ef29c7f46fe2060/gradio-4.41.0-py3-none-any.whl

*Note: Setting share=True in launch() will not work.

←

JSON

LinePlot

→

Label

gradio.Label(···)

import gradio as gr with gr.Blocks() as demo: gr.Label(value={"First Label": 0.7, "Second Label": 0.2, "Third Label": 0.1}) demo.launch()

Description

Displays a classification label, along with confidence scores of top categories, if provided. As this component does not accept user input, it is rarely used as an input component.

Behavior

As input component: Depending on the value, passes the label as a `str | int | float`, or the labels and confidences as a `dict[str, float]`.

Your function should accept one of these types:

def predict(
	value: dict[str, float] | str | int | float | None
)
	...

As output component: Expects a `dict[str, float]` of classes and confidences, or `str` with just the class or an `int | float` for regression outputs, or a `str` path to a .json file containing a json dictionary in one of the preceding formats.

Your function should return one of these types:

def predict(···) -> dict[str, float] | str | int | float | None
	...	
	return value

Initialization

Shortcuts

Class	Interface String Shortcut	Initialization
`gradio.Label`	"label"	Uses default values

Event Listeners

Description

Event listeners allow you to respond to user interactions with the UI components you've defined in a Gradio Blocks app. When a user interacts with an element, such as changing a slider value or uploading an image, a function is called.

Supported Event Listeners

The Label component supports the following event listeners. Each event listener takes the same parameters, which are listed in the Event Parameters table below.

Listener	Description
`Label.change(fn, ···)`	Triggered when the value of the Label changes either because of user input (e.g. a user types in a textbox) OR because of a function update (e.g. an image receives a value from the output of an event trigger). See `.input()` for a listener that is only triggered by user input.
`Label.select(fn, ···)`	Event listener for when the user selects or deselects the Label. Uses event data gradio.SelectData to carry `value` referring to the label of the Label, and `selected` to refer to state of the Label. See EventData documentation on how to use this event data

Event Parameters

Guides

Image Classification In Pytorch

Image Classification In Tensorflow

Image Classification With Vision Transformers

←

JSON

LinePlot

→

Label

Description

Displays a classification label, along with confidence scores of top categories, if provided. As this component does not accept user input, it is rarely used as an input component.

Behavior

As input component: Depending on the value, passes the label as a str | int | float, or the labels and confidences as a dict[str, float].

Your function should accept one of these types:

As output component: Expects a dict[str, float] of classes and confidences, or str with just the class or an int | float for regression outputs, or a str path to a .json file containing a json dictionary in one of the preceding formats.

Your function should return one of these types:

Initialization

Shortcuts

Event Listeners

Description

Supported Event Listeners

Event Parameters

Guides

As input component: Depending on the value, passes the label as a `str | int | float`, or the labels and confidences as a `dict[str, float]`.

As output component: Expects a `dict[str, float]` of classes and confidences, or `str` with just the class or an `int | float` for regression outputs, or a `str` path to a .json file containing a json dictionary in one of the preceding formats.