[Python] KeyError when using array as feature in language detection

I am following this tutorial for language detection using machine learning. In the dataset I am using, however, there are multiple variables as features. I tried, in the place of X = data["Text"], X = df["message", "fingers", "tail"],(message, fingers, and tail are the three feature variables I am using) but it throws a KeyError;

Traceback (most recent call last):
File "C:\Users\usr\AppData\Local\Programs\Python\Python311\Lib\site-packages\pandas\core\indexes\base.py", line 3805, in get_loc
return self._engine.get_loc(casted_key)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "index.pyx", line 167, in pandas._libs.index.IndexEngine.get_loc
File "index.pyx", line 196, in pandas._libs.index.IndexEngine.get_loc
File "pandas\\_libs\\hashtable_class_helper.pxi", line 7081, in pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas\\_libs\\hashtable_class_helper.pxi", line 7089, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: ('message', 'fingers', 'tail')

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "c:\Users\usr\Downloads\thecode.py", line 13, in <module>
X = df["message", "fingers", "tail"]
~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\usr\AppData\Local\Programs\Python\Python311\Lib\site-packages\pandas\core\frame.py", line 4102, in __getitem__
indexer = self.columns.get_loc(key)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\usr\AppData\Local\Programs\Python\Python311\Lib\site-packages\pandas\core\indexes\base.py", line 3812, in get_loc
raise KeyError(key) from err
KeyError: ('message', 'fingers', 'tail')


How should I implement code so as to use all features without throwing errors?

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