Help render Dash components as ipywidgets

[ddkrutkin]

• shinywidgets version: v0.3.2
• Python version: v3.11.9
• Operating System: Unix

Description

Hello, thank you for developing Shiny for Python. One of the easiest and development user-friendly data analytics tools available

I am trying to render a Dash component from the dash_bio suite. Specifically, for bioinformatics analyses, rendering an ideogram within a shiny app. I don't have any issues rendering and outputting Plotly figures.

From my understanding, Dash-specific visualizations should be able to be rendered as an ipywidget. The documentation for dash-bio explains that it could be run in a jupyter environment:
https://github.com/plotly/dash-bio

ipywidgets version: 8.1.3
jupyter-dash version: 0.4.2

What I Did

I set up a simple Shiny app to attempt to output the ideogram, but received the following error:
Don't know how to coerce Ideogram(id='ideogram-annotations', annotationsPath='https://eweitz.github.io/ideogram/data/annotations/SRR562646.json', chromosomes=['X', 'Y']) into a ipywidget.Widget object.

import dash_bio as dashbio
from shiny import App, ui
from shinywidgets import render_widget, output_widget

app_ui = ui.page_navbar(
    ui.nav_panel(
        "Test",
        ui.layout_sidebar(
            ui.sidebar(),
            output_widget("ideogram_test")
        ),
    ),
    fillable=True
)

def server(input, output, session):
    @render_widget
    def ideogram_test():
        ideogram = dashbio.Ideogram(
            id='ideogram-annotations',
            chromosomes=['X', 'Y'],
            annotationsPath='https://eweitz.github.io/ideogram/data/annotations/SRR562646.json'
        )
        return ideogram

app = App(app_ui, server)

if __name__ == '__main__':
    app.run()

Thank you for any help and suggestions