[Python] Cannot interpret 'dtype('int64')' in NLP Python Code from adashofdata

I am trying to run the NLP project shared at https://github.com/adashofdata/nlp-in-python-tutorial, but I am encountering an issue with the code in 4-Topic-Modeling.ipynb. I am running the code on Google Colab and experiencing an error when trying to load the .pkl (pickle) file into the data variable.

I am looking for suggestions or solutions regarding this issue. I tried pickle, cloudpickle, joblib.

If there are alternative ways to convert the .pkl file to another format and successfully load it into data, I am open to those suggestions as well.

Thank you!

import pickle
import pandas as pd
import numpy as np
from google.colab import drive
import joblib

# Mount Google Drive
drive.mount('/content/drive')

# File path
file_path = '/content/drive/MyDrive/Colab Notebooks/pynb/pickle/'

# Load the file using pickle
try:
with open(file_path + 'dtm_stop.pkl', 'rb') as f:
data = joblib.load(file_path + 'dtm_stop.pkl') # Load using joblib

# Check the type of the loaded data
print("Data type:", type(data))

# If the data type is numpy ndarray, try to convert the dtype
if isinstance(data, np.ndarray):
print("Data loaded as numpy ndarray")
data = data.astype(np.float64, errors='ignore') # Ignore erroneous values
elif isinstance(data, pd.DataFrame):
print("Data loaded as DataFrame")
data = data.apply(pd.to_numeric, errors='coerce') # Convert erroneous values to numeric
else:
print("Data is not a DataFrame or numpy array, data type:", type(data))

except Exception as e:
print(f"Error loading with pickle: {e}") # Print the error message in more detail
raise e

# Let's see the loaded data
print(data)


And I took this error messages:

Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount("/content/drive", force_remount=True).
Error loading with pickle: Cannot interpret 'dtype('int64')' as a data type
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-22-285aaeee691b> in <cell line: 0>()
30 except Exception as e:
31 print(f"Error loading with pickle: {e}") # Print the error message in more detail
---> 32 raise e
33
34 # Let's see the loaded data

5 frames
/usr/local/lib/python3.11/dist-packages/numpy/_core/numeric.py in _frombuffer(buf, dtype, shape, order)

TypeError: Cannot interpret 'dtype('int64')' as a data type

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