AutoViz: "AttributeError: module 'inspect' has no attribute 'ArgSpec'", thrown up by outdated holoviews version when used in Python 3.11 environment

Versions:

Python = 3.11 pandas = 1.5.3 (autoviz also needs updating to latest version of pandas - 2.1) numpy = 1.23.5 (autoviz also needs updating to latest version of numpy - 1.26) bokeh = 2.4.3 (udpating it to 3.* downgrades autoviz to 0.1.24) dash = 2.14.0

Error produced:

AttributeError                            Traceback (most recent call last)
Cell In[19], line 7
      4 np.bool = bool
      6 AV = AutoViz_Class()
----> 7 av = AV.AutoViz(filename='', sep=',', header=0, 
      8                 depVar='result', dfte=DATA1, 
      9                 lowess=False,
     10                 max_rows_analyzed=150000, max_cols_analyzed=100, 
     11                 verbose=1, chart_format='bokeh', #'html', #
     12                 #verbose=2, chart_format='html', # creates separate and very large files
     13                 save_plot_dir=None
     14                )

File ~\Python\venvs\eda311\Lib\site-packages\autoviz\AutoViz_Class.py:257, in AutoViz_Class.AutoViz(self, filename, sep, depVar, dfte, header, verbose, lowess, chart_format, max_rows_analyzed, max_cols_analyzed, save_plot_dir)
    255 ####################################################################################
    256 if chart_format.lower() in ['bokeh','server','bokeh_server','bokeh-server', 'html']:
--> 257     dft = AutoViz_Holo(filename, sep, depVar, dfte, header, verbose,
    258                 lowess,chart_format,max_rows_analyzed,
    259                     max_cols_analyzed, save_plot_dir)
    260 else:
    261     dft = self.AutoViz_Main(filename, sep, depVar, dfte, header, verbose,
    262                 lowess,chart_format,max_rows_analyzed,
    263                     max_cols_analyzed, save_plot_dir)

File ~\Python\venvs\eda311\Lib\site-packages\autoviz\AutoViz_Holo.py:181, in AutoViz_Holo(filename, sep, depVar, dfte, header, verbose, lowess, chart_format, max_rows_analyzed, max_cols_analyzed, save_plot_dir)
    178         drawobj2 = draw_pair_scatters_hv(dfin, nums, problem_type, chart_format, dep,
    179                        classes, lowess, mk_dir, verbose)
    180         ls_objects.append(drawobj2)
--> 181 drawobj3 = draw_distplot_hv(dfin, cats, nums, chart_format, problem_type, dep, classes, mk_dir, verbose)
    182 ls_objects.append(drawobj3)
    183 ### kdeplot is the only time you send in ls_objects since it has to be returned with 2 objects ###

File ~\Python\venvs\eda311\Lib\site-packages\autoviz\AutoViz_Holo.py:722, in draw_distplot_hv(dft, cats, conti, chart_format, problem_type, dep, classes, mk_dir, verbose)
    720     return plot
    721 #######  This is where you call the widget and pass it the select_variable to draw a Chart #######
--> 722 dmap = hv.DynamicMap(select_widget,  kdims=['Select_categorical_var']).redim.values(
    723                                     Select_categorical_var=cats)
    724 ###########  This is where you put the Panel Together ############
    725 hv_panel = pn.panel(dmap)

File ~\Python\venvs\eda311\Lib\site-packages\holoviews\core\spaces.py:923, in DynamicMap.__init__(self, callback, initial_items, streams, **params)
    919     raise TypeError(msg.format(objs = ', '.join('%r' % el for el in invalid)))
    921 super(DynamicMap, self).__init__(initial_items, callback=callback, streams=valid, **params)
--> 923 if self.callback.noargs:
    924     prefix = 'DynamicMaps using generators (or callables without arguments)'
    925     if self.kdims:

File ~\Python\venvs\eda311\Lib\site-packages\holoviews\core\spaces.py:640, in Callable.noargs(self)
    637 @property
    638 def noargs(self):
    639     "Returns True if the callable takes no arguments"
--> 640     noargs = inspect.ArgSpec(args=[], varargs=None, keywords=None, defaults=None)
    641     return self.argspec == noargs

AttributeError: module 'inspect' has no attribute 'ArgSpec'

To reproduce error:

Just run autoviz with following parameters:

from sklearn.datasets import fetch_california_housing

data = fetch_california_housing()
test = pd.concat([pd.DataFrame(data['data'], columns=data['feature_names']), pd.DataFrame(data['target'], columns=data['target_names'])], axis=1)

from autoviz import AutoViz_Class

AV = AutoViz_Class()
av = AV.AutoViz(filename='', sep=',', header=0, 
                depVar='MedHouseVal', 
                dfte=test, 
                lowess=False,
                max_rows_analyzed=150000, max_cols_analyzed=100, 
                verbose=1, chart_format='bokeh', 
                save_plot_dir=None
               )