Update app.py

app.py

@@ -1,3 +1,42 @@
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 import streamlit as st
 import requests
 import datetime
@@ -45,9 +84,7 @@ memory = ConversationBufferMemory(memory_key="chat_history", return_messages=Tru
 
 
 prompt_template = """Use the following pieces of context to answer the question at the end. If you don't know the answer, just say that you don't know, don't try to make up an answer.
-
 {context}
-
 Question: {question}"""
 
 PROMPT = PromptTemplate(
@@ -69,6 +106,7 @@ context = [] # the context stores a conversation history, you can use this to ma
 while True:
     if(prompt):
         st.write(f"{datetime.datetime.now()} :red[{option}:] ", prompt)
-        response = qachain({"query": prompt})
+        context = qachain({"query": prompt})
         
         st.write(f"{datetime.datetime.now()} :red[Bot:] ", context['result'])
+