supported by streamlit?

[r-matsuzaka]

Hi. I want to use this feature by streamlit. Is this usage supported?

[marcomusy]

Hi, thanks for drawing my attention to streamlit which looks absolutely fantastic! at the minute this is not supported but I would love to explore the possibilities.

[r-matsuzaka]

Thank you for your response! I am glad to hear that.

At the same time, I am now asking about it to streamlit community. https://github.com/streamlit/streamlit/issues/4366

[r-matsuzaka]

I am not sure this feature belongs to vedo or streamlit.

[marcomusy]

as i understand it should probably belong to vedo.. I hope i can play a bit with it over the weekend

[r-matsuzaka]

streamlit is very user friendly design. If you are familiar with matplot lib, then you just need to prepare place holder and pass fig object to it. Tutorial is useful.

[marcomusy]

My very first try at it:

import vedo
from itkwidgets import view
from ipywidgets import embed
import streamlit.components.v1 as components

data = vedo.Volume(vedo.dataurl+'embryo.tif').imagedata()
#data = vedo.Sphere().scale(100).polydata()

#print(type(data))
#vedo.show(data, interactive=True)

view_width = 800
view_height = 800

snippet = embed.embed_snippet(views=view(data))
html = embed.html_template.format(title="", snippet=snippet)
components.html(html, width=view_width, height=view_height)

Run by:

streamlit run myscript.py

for some reason I cannot visualise the polygonal mesh (commented out) but that's maybe due to some problems with the itkwidgets... I guess that since it needs a raw html string it can work with k3d too but I'm not sure how to do it.. @artur-trzesiok

[r-matsuzaka]

Wow. Nice!

[r-matsuzaka]

I have never thought that we can use components method to incorporate figure. I will try it the same way.