Update app.py

app.py

@@ -35,7 +35,7 @@ def transform_query(query: str) -> str:
     return f'Represent this sentence for searching relevant passages: {query}'
 
 def query_hybrid_search(col: Collection, query: str, dense_model: OptimumEncoder, sparse_model: Bm42):
-    query_dense_embeddings = dense_model(transform_query(query), 1)
+    query_dense_embeddings = dense_model([transform_query(query)], 1)
     query_sparse_embeddings = list(sparse_model.query_embed(query))
 
     query_sparse = query_sparse_embeddings[0]