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Prevent invalid empty input error when retrieving embeddings with openai backend #1827

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Feb 28, 2024
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Prevent invalid empty input error when retrieving embeddings with openai backend #1827

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7 changes: 5 additions & 2 deletions bertopic/backend/_openai.py
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Original file line number Diff line number Diff line change
Expand Up @@ -63,10 +63,13 @@ def embed(self,
Document/words embeddings with shape (n, m) with `n` documents/words
that each have an embeddings size of `m`
"""
# Prepare documents, replacing empty strings with a single space
prepared_documents = [" " if doc == "" else doc for doc in documents]

# Batch-wise embedding extraction
if self.batch_size is not None:
embeddings = []
for batch in tqdm(self._chunks(documents), disable=not verbose):
for batch in tqdm(self._chunks(prepared_documents), disable=not verbose):
response = self.client.embeddings.create(input=batch, **self.generator_kwargs)
embeddings.extend([r.embedding for r in response.data])

Expand All @@ -76,7 +79,7 @@ def embed(self,

# Extract embeddings all at once
else:
response = self.client.embeddings.create(input=documents, **self.generator_kwargs)
response = self.client.embeddings.create(input=prepared_documents, **self.generator_kwargs)
embeddings = [r.embedding for r in response.data]
return np.array(embeddings)

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