Update app.py

app.py

@@ -71,8 +71,9 @@ def main(query: str, client: QdrantClient, collection_name: str, llm: Llama, den
     scored_points = query_hybrid_search(query, client, collection_name, dense_model, sparse_model)
     print(scored_points)
     
-    docs = [(scored_point.payload['text'], scored_point.payload['metadata']) for scored_point in scored_points]
-    contents, metadatas = [list(t) for t in zip(*docs)]
+    docs = [scored_point.payload for scored_point in scored_points]
+    contents = [t['text'] for t in docs]
+    metadatas = [t['metadata'] for t in docs]
 
     context = "\n".join(contents)
     
@@ -284,8 +285,9 @@ def chunk_documents(texts: List[str], metadatas: List[dict], dense_model: Optimu
     final = end - start
     print(f'FINAL CHUNKING TIME: {final}')
 
-    documents_and_metadatas = [(chunk.content, chunk.metadata) for sub_chunk in chunks for chunk in sub_chunk]
-    documents, metadatas_docs = [list(t) for t in zip(*documents_and_metadatas)]
+    docs = [for sub_chunk in chunks for chunk in sub_chunk]
+    documents = [doc.content for doc in docs]
+    metadatas_docs = [doc.metadata for doc in docs]
     print(f'CHUNKS : {documents}')
 
     start_dense = time.time()