gradio-networkgraph 0.0.1

Python library for easily interacting with trained machine learning models

---

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

gradio_networkgraph

Python library for easily interacting with trained machine learning models

Installation

pip install gradio_networkgraph

Usage

import gradio as gr
from gradio_networkgraph import NetworkGraph


def on_graph_interaction(graph, event_data: gr.EventData):
    return event_data._data


with gr.Blocks() as demo:
    graph = NetworkGraph(
        value={
            "nodes": [{'id': 1, "label": "node 1"}, {'id': 2, "label": "node 2"}],
            "edges": [{"from": 1, "to": 2, "label": "edge", "id": "edge1"}],
            "options": {}
        },
        label="Static"
    )
    output = gr.Textbox()
    graph.selectNode(on_graph_interaction, inputs=[graph], outputs=[output])
    graph.deselectNode(on_graph_interaction, inputs=[graph], outputs=[output])
    graph.selectEdge(on_graph_interaction, inputs=[graph], outputs=[output])
    graph.deselectEdge(on_graph_interaction, inputs=[graph], outputs=[output])


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

NetworkGraph

Initialization

name	type	default	description
value	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
key	int | str | None	None	None
load_fn	Callable | None	None	None
every	Timer | float | None	None	None
inputs	Component | Sequence[Component] | set[Component] | None	None	None

Events

name	description
selectNode
deselectNode
selectEdge
deselectEdge