gradio-testfallback 0.0.3

Python library for easily interacting with trained machine learning models

gradio_testfallback

Python library for easily interacting with trained machine learning models

Installation

pip install gradio_testfallback

Usage

import gradio as gr
from gradio_testfallback import TestFallback


with gr.Blocks() as demo:
    gr.Markdown(
        "# Change the value (keep it JSON) and the front-end will update automatically."
    )
    TestFallback(value={"message": "Hello from Gradio!"}, label="Static")


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

TestFallback

Initialization

name	type	default	description
value	typing.Any	None	None
label	str | None	None	None
info	str | None	None	None
show_label	bool | None	None	None
container	bool	True	None
scale	int | None	None	None
min_width	int | None	None	None
interactive	bool | None	None	None
visible	bool	True	None
elem_id	str | None	None	None
elem_classes	list[str] | str | None	None	None
render	bool	True	None
load_fn	Callable | None	None	None
every	float | None	None	None