Update app.py

app.py

@@ -55,7 +55,7 @@ def transform_query(query: str) -> str:
     return f'Represent this sentence for searching relevant passages: {query}'
 
 def query_hybrid_search(query: str, client: QdrantClient, collection_name: str, dense_model: OptimumEncoder, sparse_model: SparseTextEmbedding):
-    dense_embeddings = dense_model([transform_query(query)], 1, convert_to_numpy=True)[0]
+    dense_embeddings = dense_model([transform_query(query)], 1, 0, convert_to_numpy=True)[0]
     sparse_embeddings = list(sparse_model.query_embed(query))[0]
     
     return client.query_points(
@@ -301,7 +301,7 @@ def chunk_documents(texts: List[str], metadatas: List[dict], dense_model: Optimu
     print(f'CHUNKS : {documents}')
 
     start_dense = time.time()
-    dense_embeddings = dense_model(documents, 32, convert_to_numpy=True)
+    dense_embeddings = dense_model(documents, 32, 0, convert_to_numpy=True)
     end_dense = time.time()
     final_dense = end_dense - start_dense
     print(f'DENSE TIME: {final_dense}')