fairness-interpretability-dashboard-income-prediction.ipynb / from raiwidgets import ExplanationDashboard command --> TypeError: init() got an unexpected keyword argument 'unbound_message'

[slsu0424]

Describe the bug
When running the fairness-interpretability-dashboard-income-prediction.ipynb notebook, the command:

from raiwidgets import ExplanationDashboard

returns the following error:
TypeError: init() got an unexpected keyword argument 'unbound_message'

To Reproduce
Steps to reproduce the behavior:

1. Go to Azure Machine Learning Service
2. Click on Notebook
3. Upload fairness-interpretability-dashboard-income-prediction.ipynb
4. Run through notebook
5. Scroll down to command 'from raiwidgets import ExplanationDashboard'
6. See error

Stack trace

TypeError Traceback (most recent call last)
Cell In [13], line 1
----> 1 from raiwidgets import ExplanationDashboard

File /anaconda/envs/azureml_py38/lib/python3.8/site-packages/raiwidgets/init.py:7
4 """Package for the fairness, explanation, and error analysis widgets."""
6 from .version import version
----> 7 from .error_analysis_dashboard import ErrorAnalysisDashboard
8 from .explanation_dashboard import ExplanationDashboard
9 from .fairness_dashboard import FairnessDashboard

File /anaconda/envs/azureml_py38/lib/python3.8/site-packages/raiwidgets/error_analysis_dashboard.py:6
1 # Copyright (c) Microsoft Corporation
2 # Licensed under the MIT License.
4 """Defines the ErrorAnalysis dashboard class."""
----> 6 from flask import jsonify, request
8 from .constants import ModelTask
9 from .dashboard import Dashboard

File /anaconda/envs/azureml_py38/lib/python3.8/site-packages/flask/init.py:4
1 from markupsafe import escape
2 from markupsafe import Markup
----> 4 from . import json as json
5 from .app import Flask as Flask
6 from .app import Request as Request

File /anaconda/envs/azureml_py38/lib/python3.8/site-packages/flask/json/init.py:8
4 import typing as t
6 from jinja2.utils import htmlsafe_json_dumps as _jinja_htmlsafe_dumps
----> 8 from ..globals import current_app
9 from .provider import _default
11 if t.TYPE_CHECKING: # pragma: no cover

File /anaconda/envs/azureml_py38/lib/python3.8/site-packages/flask/globals.py:56
54 _cv_app: ContextVar["AppContext"] = ContextVar("flask.app_ctx")
55 __app_ctx_stack = _FakeStack("app", _cv_app)
---> 56 app_ctx: "AppContext" = LocalProxy( # type: ignore[assignment]
57 _cv_app, unbound_message=_no_app_msg
58 )
59 current_app: "Flask" = LocalProxy( # type: ignore[assignment]
60 _cv_app, "app", unbound_message=_no_app_msg
61 )
62 g: "_AppCtxGlobals" = LocalProxy( # type: ignore[assignment]
63 _cv_app, "g", unbound_message=_no_app_msg
64 )

TypeError: init() got an unexpected keyword argument 'unbound_message'

Expected behavior
This command should execute without error.

Screenshots

Desktop (please complete the following information):

• OS: Windows 10
• Browser: Chrome
• Python version: Python 3.8 - AzureML
• raiwidgets and responsibleai package versions: 0.24.1, 0.24.1

[imatiach-msft]

@slsu0424 can you please try upgrading your version of flask in your environment:
pip install --upgrade flask
It looks like the error is coming from flask package. What is your flask package version? The latest is 2.2.3:
https://pypi.org/project/Flask/

[ExOblivione]

@slsu0424 can you please try upgrading your version of flask in your environment: pip install --upgrade flask It looks like the error is coming from flask package. What is your flask package version? The latest is 2.2.3: https://pypi.org/project/Flask/

Thank you, that solved the issue for me!