Update app.py

app.py

@@ -70,20 +70,28 @@ def get_vectorstore(text_chunks):
 
 
 def get_conversation_chain(vectorstore):
-    if st.session_state.conversation is None:
-        gpt_model_name = 'gpt-3.5-turbo'
-        llm = ChatOpenAI(model_name=gpt_model_name)  # gpt-3.5 모델 로드
-
-        # 대화 기록을 저장하기 위한 메모리를 생성합니다.
-        memory = ConversationBufferMemory(
-            memory_key='chat_history', return_messages=True)
-        # 대화 검색 체인을 생성합니다.
-        conversation_chain = ConversationalRetrievalChain.from_llm(
-            llm=llm,
-            retriever=vectorstore.as_retriever(),
-            memory=memory
-        )
-        st.session_state.conversation = conversation_chain
+    print(f"DEBUG: session_state.conversation before initialization: {st.session_state.conversation}")
+
+    try:
+        if st.session_state.conversation is None:
+            gpt_model_name = 'gpt-3.5-turbo'
+            llm = ChatOpenAI(model_name=gpt_model_name)
+
+            # 대화 기록을 저장하기 위한 메모리를 생성합니다.
+            memory = ConversationBufferMemory(
+                memory_key='chat_history', return_messages=True)
+            # 대화 검색 체인을 생성합니다.
+            conversation_chain = ConversationalRetrievalChain.from_llm(
+                llm=llm,
+                retriever=vectorstore.as_retriever(),
+                memory=memory
+            )
+            st.session_state.conversation = conversation_chain
+
+    except Exception as e:
+        print(f"Error during conversation initialization: {e}")
+
+    print(f"DEBUG: session_state.conversation after initialization: {st.session_state.conversation}")
 
     return st.session_state.conversation if st.session_state.conversation else ConversationalRetrievalChain()