Update app.py

app.py

@@ -135,14 +135,13 @@ def create_conversational_rag_chain(vectorstore):
     which can be understood without the chat history. Do NOT answer the question,
     just reformulate it if needed and otherwise return it as is."""
 
-
     contextualize_q_prompt = ChatPromptTemplate.from_messages(
-    [
-        ("system", contextualize_q_system_prompt),
-        MessagesPlaceholder("chat_history"),
-        ("human", "{input}"),
-    ]
-)
+        [
+            ("system", contextualize_q_system_prompt),
+            MessagesPlaceholder("chat_history"),
+            ("human", "{input}"),
+        ]
+    )
 
     ha_retriever = create_history_aware_retriever(llm, vectorstore.as_retriever(), contextualize_q_prompt)
 
@@ -156,6 +155,7 @@ def create_conversational_rag_chain(vectorstore):
         ]
     )
 
+
     question_answer_chain = create_stuff_documents_chain(llm, qa_prompt)
 
     rag_chain = create_retrieval_chain(ha_retriever, question_answer_chain)