gradio-automationbus 0.0.1

Python library for easily interacting with trained machine learning models

---

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

gradio_automationbus

Python library for easily interacting with trained machine learning models

Installation

pip install gradio_automationbus

Usage

import gradio as gr
from gradio_automationbus import AutomationBus


def passthrough(points):
    return points


with gr.Blocks() as demo:
    gr.Markdown("## Automation Lane Demo")
    with gr.Row():
        audio = gr.Audio(label="Audio", sources=["upload", "microphone"], type="filepath")
    with gr.Row():
        lane = AutomationBus(
            label="Automation",
            x_min=0.0,
            x_max=1.0,
            y_min=0.0,
            y_max=1.0,
            top_label="prompt a",
            bottom_label="prompt b",
        )

    # Remove waveform linkage for now

    # Echo points on release
    out = gr.JSON(label="Current Points")
    lane.release(fn=passthrough, inputs=lane, outputs=out)


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

AutomationBus

Initialization

name	type	default	description
value	list[list[float]] | dict[str, Any] | Callable | None	None	Initial points list ([[x, y], ...]) or an object {"points": [[x,y],...], "audio_url": str}.
x_min	float	0.0	Minimum x value of the canvas domain.
x_max	float	1.0	Maximum x value of the canvas domain.
y_min	float	0.0	Minimum y value of the canvas range.
y_max	float	1.0	Maximum y value of the canvas range.
precision	int | None	3	Number of decimal places to round values to when serializing.
audio_url	str | None	None	Optional URL or path to an audio file to render waveform background.
shade_enabled	bool	True	None
shade_above_color	str | None	"rgba(250, 204, 21, 0.25)"	None
shade_below_color	str | None	"rgba(34, 197, 94, 0.25)"	None
top_label	str | None	None	None
bottom_label	str | None	None	None
label	str | I18nData | None	None	None
info	str | I18nData | None	None	None
every	Timer | float | None	None	None
inputs	Component | Sequence[Component] | set[Component] | None	None	None
show_label	bool | None	None	None
container	bool	True	None
scale	int | None	None	None
min_width	int	160	None
interactive	bool | None	None	None
visible	bool | Literal["hidden"]	True	None
elem_id	str | None	None	None
elem_classes	list[str] | str | None	None	None
render	bool	True	None
key	int | str | tuple[int | str, ...] | None	None	None
preserved_by_key	list[str] | str | None	"value"	None
show_reset_button	bool	True	Standard component options.

Events

name	description
change	Triggered when the value of the AutomationBus 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.
input	This listener is triggered when the user changes the value of the AutomationBus.
release	This listener is triggered when the user releases the mouse on this AutomationBus.

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, the validated and rounded list of points.

def predict(
    value: list[list[float]]
) -> typing.Any:
    return value