Update app.py

app.py

@@ -5,7 +5,6 @@ from langchain.chains import ConversationChain
 from langchain.chains.conversation.memory import ConversationBufferMemory, ConversationSummaryMemory
 
 # Step 1: Set up Google API key
-# Retrieve API key from secrets (ensure you set this up in Streamlit secrets)
 google_api_key = st.secrets["google_api_key"]
 
 # Step 2: Initialize Session State Variables
@@ -27,7 +26,10 @@ st.session_state['API_Key'] = st.sidebar.text_input("Enter your Google API key",
 # Summarization button
 summarise_button = st.sidebar.button("Summarise the conversation", key="summarise")
 if summarise_button:
-    summarise_placeholder = st.sidebar.write("Nice chatting with you my friend <3️:\n\n" + str(st.session_state['conversation'].memory.buffer))
+    if st.session_state['conversation'] is not None:  # Check if conversation is initialized
+        summarise_placeholder = st.sidebar.write("Nice chatting with you my friend <3️:\n\n" + str(st.session_state['conversation'].memory.buffer))
+    else:
+        st.sidebar.write("No conversation history to summarize.")
 
 # Step 4: Define the getresponse function using Google's Gemini
 def getresponse(userInput, api_key):