Tree Visualisation not working

[Arnold2381]

Describe the bug
Hi, I am running the error analysis notebook in the examples, when i am running the notebook on Google colab i am getting the tree visualisation, and when i am storing the response from the local host server, and displaying it on google colab, using Ipython, it displays the tree visualisation

import requests
response = requests.get('http://localhost:8704')
from IPython.display import display, HTML
display(HTML(response.text))

Now the issue is, when i store the response in a html file, and open it in browser i am not getting the tree visualisation and getting the data exploration UI as it is, there are some errors which i am seeing on dev console of the browser

response_error_global_dummy (2).html:17 
        
        
       Uncaught (in promise) TypeError: Failed to fetch
    at Q (response_error_global_dummy (2).html:17:3744176)
    at Object.i [as requestImportances] (response_error_global_dummy (2).html:17:4214354)
    at new iu (response_error_global_dummy (2).html:17:4196435)
    at ha (response_error_global_dummy (2).html:17:12289645)
    at Fo (response_error_global_dummy (2).html:17:12308996)
    at Rs (response_error_global_dummy (2).html:17:12352816)
    at bl (response_error_global_dummy (2).html:17:12338855)
    at vl (response_error_global_dummy (2).html:17:12338783)
    at gl (response_error_global_dummy (2).html:17:12338646)
    at ll (response_error_global_dummy (2).html:17:12335641)
response_error_global_dummy (2).html:17 
        
        
       Uncaught (in promise) TypeError: Failed to fetch
    at Q (response_error_global_dummy (2).html:17:3744176)
    at Object.n [as getTreeNodes] (response_error_global_dummy (2).html:17:4214298)
    at yl.fetchTreeNodes (response_error_global_dummy (2).html:17:4131985)
    at yl.componentDidMount (response_error_global_dummy (2).html:17:4119894)
    at ls (response_error_global_dummy (2).html:17:12325902)
    at wl (response_error_global_dummy (2).html:17:12343150)
    at t.unstable_runWithPriority (response_error_global_dummy (2).html:17:665926)
    at Ni (response_error_global_dummy (2).html:17:12284938)
    at _l (response_error_global_dummy (2).html:17:12339747)
    at ll (response_error_global_dummy (2).html:17:12335866)

Also i am running the same notebook on AWS Sagemaker notebook, and the tree visualisation is not working but other features of Dashboard is working

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4. See error

Stack trace
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Expected behavior
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Screenshots
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Desktop (please complete the following information):

• OS: [e.g. iOS] iOS
• Browser [e.g. chrome, safari] Chrome, Firefox, Safari
• Python version: [e.g. 3.9.12] 3.10.13
• raiwidgets and responsibleai package versions [e.g. 0.19.0]

To get the package versions please run in your command line:

pip show raiwidgets
pip show responsibleai

Name: raiwidgets
Version: 0.34.1
Summary: Interactive visualizations to assess fairness, explain models, generate counterfactual examples, analyze causal effects and analyze errors in Machine Learning models.
Home-page: https://github.com/microsoft/responsible-ai-toolbox
Author: Roman Lutz, Ilya Matiach, Ke Xu
Author-email: [[email protected]](mailto:[email protected])
License: 
Location: /usr/local/lib/python3.10/dist-packages
Requires: erroranalysis, fairlearn, itsdangerous, lightgbm, numpy, pandas, rai-core-flask, raiutils, responsibleai, scikit-learn, scipy
Required-by: 
Name: responsibleai
Version: 0.34.1
Summary: SDK API to explain models, generate counterfactual examples, analyze causal effects and analyze errors in Machine Learning models.
Home-page: https://github.com/microsoft/responsible-ai-toolbox
Author: Roman Lutz, Ilya Matiach, Ke Xu
Author-email: [[email protected]](mailto:[email protected])
License: 
Location: /usr/local/lib/python3.10/dist-packages
Requires: dice-ml, econml, erroranalysis, interpret-community, ipykernel, jsonschema, lightgbm, markupsafe, ml-wrappers, networkx, numba, numpy, pandas, raiutils, scikit-learn, scipy, semver, statsmodels
Required-by: raiwidgets

Additional context
Add any other context about the problem here.

[Arnold2381]

Seems like a similar issue, where the customer was not able to see the dashboard
#375

[Arnold2381]

Update here: I have moved to an EC2 isntance and this has worked. But i would still like to know why its not working in jupyer notebooks.

[Arnold2381]

Also i have a large dataset like around 20 million rows, in this case i would need error analysis to work on distributed instances, something like pyspark? is there a workaround for this?