Update pages/3_Earnings_Semantic_Search_🔎_.py

pages/3_Earnings_Semantic_Search_🔎_.py

@@ -109,11 +109,17 @@ try:
             
             docsearch = create_vectorstore(earnings_text,title, embedding_model)
 
+            memory, agent_executor = create_memory_and_agent(earnings_text,docsearch)
 
         if "messages" not in st.session_state or st.sidebar.button("Clear message history"):
             st.session_state["messages"] = [AIMessage(content=starter_message)]
 
-        
+        for msg in st.session_state.messages:
+            if isinstance(msg, AIMessage):
+                st.chat_message("assistant").write(msg.content)
+            elif isinstance(msg, HumanMessage):
+                st.chat_message("user").write(msg.content)
+            memory.chat_memory.add_message(msg)
 
         if user_question := st.chat_input(placeholder=starter_message):
             st.chat_message("user").write(user_question)
@@ -121,15 +127,6 @@ try:
             with st.chat_message("assistant"):
                 
                 st_callback = StreamlitCallbackHandler(st.container())
-
-                memory, agent_executor = create_memory_and_agent(user_question,docsearch)
-
-                for msg in st.session_state.messages:
-                    if isinstance(msg, AIMessage):
-                        st.chat_message("assistant").write(msg.content)
-                    elif isinstance(msg, HumanMessage):
-                        st.chat_message("user").write(msg.content)
-                    memory.chat_memory.add_message(msg)
                 
                 response = agent_executor(
                     {"input": user_question, "history": st.session_state.messages},