Try to fix cuml error

app.py

@@ -23,13 +23,21 @@ from gradio_huggingfacehub_search import HuggingfaceHubSearch
 from bertopic import BERTopic
 from bertopic.representation import KeyBERTInspired
 from bertopic.representation import TextGeneration
-from cuml.manifold import UMAP
-from cuml.cluster import HDBSCAN
 from huggingface_hub import HfApi
 from sklearn.feature_extraction.text import CountVectorizer
 from sentence_transformers import SentenceTransformer
 from prompts import REPRESENTATION_PROMPT
 
+
+@spaces.GPU
+def calculate_embeddings(docs):
+    return sentence_model.encode(docs, show_progress_bar=True, batch_size=32)
+
+
+from cuml.manifold import UMAP
+from cuml.cluster import HDBSCAN
+
+
 """
 TODOs:
 - Improve representation layer (Try with llamacpp or TextGeneration)
@@ -127,11 +135,6 @@ def get_docs_from_parquet(parquet_urls, column, offset, limit):
     return df[column].tolist()
 
 
-@spaces.GPU
-def calculate_embeddings(docs):
-    return sentence_model.encode(docs, show_progress_bar=True, batch_size=32)
-
-
 def calculate_n_neighbors_and_components(n_rows):
     n_neighbors = min(max(n_rows // 20, 15), 100)
     n_components = 10 if n_rows > 1000 else 5  # Higher components for larger datasets