Does Kaleido work on Google Colab (as Orca is crap)?

I am receiving a Path Error using Orca in Google Colab to save an image in a Google Colab .ipynb Python Machine Learning model. A Flask App (written in VS Code IDE) uses the Colab trained model to output results to a URL. To be clear, the errors occur in my Colab Python script. This error is very similar to issue #252 in the plotly/orca Git Page, however, I am unable to recreate the solution used there.

I Colab, I have created the following recommended import lines, as described in many posts:

!pip install plotly>=4.7.1 !wget -O /usr/local/bin/orca !chmod +x /usr/local/bin/orca
import plotly.graph_objects as go

I then use the following image write command:
I expect to see ‘base_pic.svg’ appear as a file when the code runs, but this is not happening.

My error seems to related to a path setting, however, I am unable to find detailed instruction to update and correct this path. Unfortunately, I am quite novice with troubleshooting paths.
The Error:

ValueError Traceback (most recent call last)
in ()
----> 2 make_picture('AgesAndHeights.pkl',model, floats_string_to_np_array('1, 3, 3.2, '),'x.svg')
5 frames
/usr/local/lib/python3.7/dist-packages/plotly/io/ in validate_executable()
1109 Searched for the executable 'xvfb-run' on the following path:
1110 {formatted_path}""".format(
-> 1111 formatted_path=formatted_path
1112 )
1113 )

The property is set to True, but the
xvfb-run executable could not be found on the system path.
Searched for the executable 'xvfb-run' on the following path:

My SetUp:
Windows 10
VS Code to run a Flask app
Google Colab to host the ML model
Python 3.9.7 used via Anaconda

I have noted several discussions where users recommend using Kaleido instead of Orca, and I am using Kaleido within the Flask app, however, I do not believe Colab supports Kaleido. Is this correct?

Any help would be welcomed.


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