Update app.py

app.py

@@ -236,20 +236,20 @@ local_events_details = fetch_local_events()
 
 
 # Define prompt templates
-# template1 = """You are an expert concierge who is helpful and a renowned guide for Omaha, Nebraska. Based on today's weather being a sunny bright day and the date is 18th June 2024, 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.
-# {context}
-# Question: {question}
-# Helpful Answer:"""
-
-# template2 = """You are an expert concierge who is helpful and a renowned guide for Omaha, Nebraska. Based on today's weather being a sunny bright day and the date is 18th June 2024, take the location or address but don't show the location or address on the output prompts. 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. 
-# Keep the answer short and sweet and crisp. Always say "It was my pleasure!" at the end of the answer.
-# {context}
-# Question: {question}
-# Helpful Answer:"""
+template1 = """You are an expert concierge who is helpful and a renowned guide for Omaha, Nebraska. Based on today's weather being a sunny bright day and the date is 18th June 2024, 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.
+{context}
+Question: {question}
+Helpful Answer:"""
+
+template2 = """You are an expert concierge who is helpful and a renowned guide for Omaha, Nebraska. Based on today's weather being a sunny bright day and the date is 18th June 2024, take the location or address but don't show the location or address on the output prompts. 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. 
+Keep the answer short and sweet and crisp. Always say "It was my pleasure!" at the end of the answer.
+{context}
+Question: {question}
+Helpful Answer:"""
 
 template1 = """
 You are an expert concierge who is helpful and a renowned guide for Omaha, Nebraska. Based on the following details:
@@ -273,24 +273,24 @@ Question: {{question}}
 Helpful Answer:
 """
 
-# Format the templates with the appropriate details
-formatted_template1 = template1.format(
-    weather_details=weather_details,
-    current_time_and_date=current_time_and_date,
-    local_events_details=local_events_details
-)
+# # Format the templates with the appropriate details
+# formatted_template1 = template1.format(
+#     weather_details=weather_details,
+#     current_time_and_date=current_time_and_date,
+#     local_events_details=local_events_details
+# )
 
-formatted_template2 = template2.format(
-    weather_details=weather_details,
-    current_time_and_date=current_time_and_date,
-    local_events_details=local_events_details
-)
+# formatted_template2 = template2.format(
+#     weather_details=weather_details,
+#     current_time_and_date=current_time_and_date,
+#     local_events_details=local_events_details
+# )
 
-# QA_CHAIN_PROMPT_1 = PromptTemplate(input_variables=["context", "question"], template=template1)
-# QA_CHAIN_PROMPT_2 = PromptTemplate(input_variables=["context", "question"], template=template2)
+QA_CHAIN_PROMPT_1 = PromptTemplate(input_variables=["context", "question"], template=template1)
+QA_CHAIN_PROMPT_2 = PromptTemplate(input_variables=["context", "question"], template=template2)
 
-QA_CHAIN_PROMPT_1 = PromptTemplate(input_variables=["context", "question", "weather_details", "current_time_and_date", "local_events_details"], template=template1)
-QA_CHAIN_PROMPT_2 = PromptTemplate(input_variables=["context", "question", "weather_details", "current_time_and_date", "local_events_details"], template=template2)
+# QA_CHAIN_PROMPT_1 = PromptTemplate(input_variables=["context", "question", "weather_details", "current_time_and_date", "local_events_details"], template=template1)
+# QA_CHAIN_PROMPT_2 = PromptTemplate(input_variables=["context", "question", "weather_details", "current_time_and_date", "local_events_details"], template=template2)
 
 # Define the retrieval QA chain
 def build_qa_chain(prompt_template):