New to Gradio? Start here: Getting Started

To install Gradio from main, run the following command:

pip install https://gradio-builds.s3.amazonaws.com/63048975c6c055ac33360d21e760b9ce8f035ff5/gradio-4.37.2-py3-none-any.whl

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

← LikeData

Progress →

SelectData

gradio.SelectData(···)

Description

The gr.SelectData class is a subclass of gr.EventData that specifically carries information about the `.select()` event. When gr.SelectData is added as a type hint to an argument of an event listener method, a gr.SelectData object will automatically be passed as the value of that argument. The attributes of this object contains information about the event that triggered the listener.

Example Usage

import gradio as gr

with gr.Blocks() as demo:
    table = gr.Dataframe([[1, 2, 3], [4, 5, 6]])
    gallery = gr.Gallery([("cat.jpg", "Cat"), ("dog.jpg", "Dog")])
    textbox = gr.Textbox("Hello World!")
    statement = gr.Textbox()

    def on_select(evt: gr.SelectData):
        return f"You selected {evt.value} at {evt.index} from {evt.target}"

    table.select(on_select, table, statement)
    gallery.select(on_select, gallery, statement)
    textbox.select(on_select, textbox, statement)

demo.launch()

Attributes

Parameter	Description
`index` int \| tuple[int, int]	The index of the selected item. Is a tuple if the component is two dimensional or selection is a range.
`value` Any	The value of the selected item.
`selected` bool	True if the item was selected, False if deselected.

Demos

import gradio as gr import numpy as np with gr.Blocks() as demo: imgs = gr.State() gallery = gr.Gallery(allow_preview=False) def deselect_images(): return gr.Gallery(selected_index=None) def generate_images(): images = [] for _ in range(9): image = np.ones((100, 100, 3), dtype=np.uint8) * np.random.randint( 0, 255, 3 ) # image is a solid single color images.append(image) return images, images demo.load(generate_images, None, [gallery, imgs]) with gr.Row(): selected = gr.Number(show_label=False) darken_btn = gr.Button("Darken selected") deselect_button = gr.Button("Deselect") deselect_button.click(deselect_images, None, gallery) def get_select_index(evt: gr.SelectData): return evt.index gallery.select(get_select_index, None, selected) def darken_img(imgs, index): index = int(index) imgs[index] = np.round(imgs[index] * 0.8).astype(np.uint8) return imgs, imgs darken_btn.click(darken_img, [imgs, selected], [imgs, gallery]) if __name__ == "__main__": demo.launch()

← LikeData

Progress →