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Upgrade default models + small improvement #6

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Upgrade default models + small improvement #6

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51f61d7
improvement
robechun Aug 21, 2024
b569a1b
bump models to newest
robechun Aug 22, 2024
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4 changes: 2 additions & 2 deletions src/topicgpt/TopicGPT.py
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Original file line number Diff line number Diff line change
Expand Up @@ -23,12 +23,12 @@ def __init__(self,
api_key: str = "",
azure_endpoint: dict = {},
n_topics: int = None,
openai_prompting_model: str = "gpt-3.5-turbo-16k",
openai_prompting_model: str = "gpt-4o-mini",
max_number_of_tokens: int = 16384,
corpus_instruction: str = "",
document_embeddings: np.ndarray = None,
vocab_embeddings: dict[str, np.ndarray] = None,
embedding_model: str = "text-embedding-ada-002",
embedding_model: str = "text-embedding-3-small",
max_number_of_tokens_embedding: int = 8191,
use_saved_embeddings: bool = True,
path_saved_embeddings: str = embeddings_path,
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2 changes: 1 addition & 1 deletion src/topicgpt/TopicRepresentation.py
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Expand Up @@ -298,7 +298,7 @@ def extract_topics_no_new_vocab_computation(corpus: list[str], vocab: list[str],
centroid_arr = np.array(list(centroid_dict.values()))
if centroid_arr.ndim == 1:
centroid_arr = centroid_arr.reshape(-1, 1)
dim_red_centroids = umap_mapper.transform(np.array(list(centroid_dict.values()))) # map the centroids to low dimensional space
dim_red_centroids = umap_mapper.transform(centroid_arr) # map the centroids to low dimensional space

dim_red_centroid_dict = {label: centroid for label, centroid in zip(centroid_dict.keys(), dim_red_centroids)}

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