Guided Topic Modeling

Hi @MaartenGr ,

I am tring to use the Guided Topic Modeling using the following code. Its working fine in Colab notebooks but getting error on my local machine. I am using BERTopic 0.12.0. Can you please help me for this??? Thanks

Code:

topic_model = BERTopic(language="english", verbose=True, seed_topic_list=seed_topic_list)
topics, probs = topic_model.fit_transform(docs)

Error:
topics, probs = topic_model.fit_transform(docs)
File "...\Local\Programs\Python\Python38\lib\site-packages\bertopic_bertopic.py", line 344, in fit_transform
y, embeddings = self._guided_topic_modeling(embeddings)
File "...\Local\Programs\Python\Python38\lib\site-packages\bertopic_bertopic.py", line 2376, in _guided_topic_modeling
embeddings[indices] = np.average([embeddings[indices], seed_topic_embeddings[seed_topic]], weights=[3, 1])
File "<array_function internals>", line 5, in average
File "..\Local\Programs\Python\Python38\lib\site-packages\numpy\lib\function_base.py", line 407, in average
scl = wgt.sum(axis=axis, dtype=result_dtype)
File "..\Local\Programs\Python\Python38\lib\site-packages\numpy\core_methods.py", line 47, in _sum
return umr_sum(a, axis, dtype, out, keepdims, initial, where)
TypeError: No loop matching the specified signature and casting was found for ufunc add

Reproduce the reported BERTopic 0.12.0 example with Python 3.8 and inspect the _guided_topic_modeling traceback at the failing NumPy average call. Compare the local environment with the working Colab setup; done when fit_transform(docs) completes locally without the reported TypeError.