Update app.py

app.py

@@ -356,7 +356,14 @@ def chunk_documents(texts: List[str], metadatas: List[dict], dense_model: Optimu
     print(f'DENSE TIME: {final_dense}')
 
     start_sparse = time.time()
-    sparse_embeddings = [SparseVector(indices=list(sparse_dict.keys()), values=list(sparse_dict.values())) for sparse_dict in sparse_model.embed(documents, 32)]
+
+    sparse_embeddings = []
+
+    for sparse_dict in sparse_model.embed(documents, 32):
+        print(f"SPARSE: {sparse_dict}")
+        sparse_embeddings.append(SparseVector(indices=list(sparse_dict.keys()), values=list(sparse_dict.values())))
+    
+    #sparse_embeddings = [SparseVector(indices=list(sparse_dict.keys()), values=list(sparse_dict.values())) for sparse_dict in sparse_model.embed(documents, 32)]
     end_sparse = time.time()
     final_sparse = end_sparse - start_sparse
     print(f'SPARSE TIME: {final_sparse}')