Update app.py

app.py

@@ -1822,7 +1822,7 @@ def handle_prompt(prompt):
                 # Specialized responses if keywords detected
                 try:
                     output = agent_executor.invoke({
-                        "input": f"{prompt} Be in natural tone, doesn’t use flowery language and typical AI words. Use knowledge when user say words like 'our','VW'or 'Volkswagen' pull   information  with percentage exact present in  knowledgebase , if not found use google then. Avoid AI jargon.When query is to write article,newsletter,blog give short conversational  headings in active lanuguage with each paragraph,",
+                        "input": f"{prompt} Be in natural tone, doesn’t use flowery language and typical AI words. Use knowledge always here  when user say words like 'our','VW'or 'Volkswagen' pull   information  with percentage exact present in  knowledgebase as it is if asked abour customers or prospects.. Avoid AI jargon.When query is to write article,newsletter,blog give short conversational  headings in active lanuguage with each paragraph,",
                         "chat_history": st.session_state.chat_history
                     })
                     full_response = output["output"]