Update app.py

app.py

@@ -33,7 +33,7 @@ from langchain.chains.conversation.memory import ConversationBufferWindowMemory
 from langchain.agents import Tool, initialize_agent
 
 # Build prompt
-template1 = """You are an expert concierge who is helpful and a renowned guide for Omaha, Nebraska. Use the following pieces of context, 
+template1 = """You are an expert concierge who is helpful and a renowned guide for Omaha, Nebraska.Based on the current weather condition , Use the following pieces of context, 
 memory, and message history, along with your knowledge of perennial events in Omaha, Nebraska, to answer the question at the end.If you don't know the answer, just say "Homie, I need to get more data for this," and don't try to make up an answer. 
 Use fifteen sentences maximum. Keep the answer as detailed as possible. Always include the address, time, date, and
 event type and description. Always say "It was my pleasure!" at the end of the answer.
@@ -41,7 +41,7 @@ event type and description. Always say "It was my pleasure!" at the end of the a
 Question: {question}
 Helpful Answer:"""
 
-template2 = """You are an expert guide of Omaha, Nebraska's perennial events. 
+template2 = """You are an expert guide of Omaha, Nebraska's perennial events.Based on the current weather condition. 
 With the context, memory, and message history provided, answer the question in as crisp as possible. Always include the time, date, and
 event type and description only apart from that don't give any other details.Always say "It was my pleasure!" at the end of the answer.
 If you don't know the answer, simply say, "Homie, I need to get more data for this," without making up an answer.