tags: [gradio-custom-component, SimpleTextbox, gradio, navbar, navar-component, gradio-navbar, UI-component] title: gradio_navbar short_description: Gradio custom navbar component colorFrom: blue colorTo: yellow sdk: gradio pinned: false app_file: space.py

gradio_navbar

Gradio custom navbar component

Installation

pip install gradio_navbar

Usage

"""
Demo for the NavBar component.
"""

import gradio as gr
from gradio_navbar import NavBar


example = NavBar().example_value()

demo = gr.Interface(
    lambda x: x,
    [
        NavBar(
            value={
                "company_logo_url": "https://avatars.githubusercontent.com/u/\
55248617?v=4",
                "company_name": "Gradio",
                "logout_link": "https://www.gradio.app",
                "username": "gradio",
                "profile_photo_url": "https://avatars.githubusercontent.com/u/\
55248607?v=4",
            }
        ),
    ],  # interactive version of your component
    NavBar(),  # static version of your component
    examples=[
        [example]
    ],  # uncomment this line to view the "example version" of your component
)


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

NavBar

Initialization

Dict[str, Any] | Callable | None

Timer | float | None

Component | Sequence[Component] | set[Component] | None

bool

str | None

list[str] | str | None

bool

int | str | None

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, passes text value as a {str} into the function.
• As input: Should return, expects a {str} returned from function and sets textarea value to it.

def predict(
    value: typing.Optional[typing.Dict[str, typing.Any]][
   typing.Dict[str, typing.Any][str, typing.Any], None
]
) -> typing.Optional[typing.Dict[str, typing.Any]][
   typing.Dict[str, typing.Any][str, typing.Any], None
]:
    return value