Embedding Error

Hi @MaartenGr ,

I installed a Google package that updated some packages and after that I am getting the following error. Can you please help me to resolve this? Thanks

2023-09-19 16:43:58,838 - BERTopic - Transformed documents to Embeddings
Traceback (most recent call last):
topics, probs = topic_model.fit_transform(docs)
File "... /bertopic/_bertopic.py", line 350, in fit_transform
y, embeddings = self._guided_topic_modeling(embeddings)
File "... /bertopic/_bertopic.py", line 2919, in _guided_topic_modeling
seed_topic_embeddings = np.vstack([seed_topic_embeddings, embeddings.mean(axis=0)])
File "<array_function internals>", line 5, in vstack
File "... /site-packages/numpy/core/shape_base.py", line 282, in vstack
return _nx.concatenate(arrs, 0)
File "<array_function internals>", line 5, in concatenate
ValueError: all the input array dimensions for the concatenation axis must match exactly, but along dimension 1, the array at index 0 has size 46 and the array at index 1 has size 100

Start in bertopic/_bertopic.py at fit_transform and _guided_topic_modeling, then inspect the NumPy vstack failure and the embedding dimensions shown in the traceback. Reproduce the failure with the reported package state and determine which inputs produce dimensions 46 and 100. Done means the cause and a verified compatibility or input-level resolution are documented.