Update app.py

app.py

@@ -356,7 +356,7 @@ 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_vector.keys()), values=list(sparse_vector.values())) for sparse_dict in sparse_model.embed(documents, 32)]
+    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}')
@@ -685,7 +685,7 @@ if __name__ == '__main__':
 
                 dense = dense_model.embed_documents(documents)
                 print(f'dense: {type(dense)}')
-                sparse = [SparseVector(indices=list(sparse_vector.keys()), values=list(sparse_vector.values())) for sparse_dict in sparse_model.embed(documents, 32)]
+                sparse = [SparseVector(indices=list(sparse_dict.keys()), values=list(sparse_dict.values())) for sparse_dict in sparse_model.embed(documents, 32)]
                 print(f'dense: {type(sparse)}')