Update app.py

app.py

@@ -46,7 +46,9 @@ def chatresponse(message, history):
     # vectorstore = data_vectorstore + history_vectorstore
     vectorstore = data_vectorstore
     retriever = vectorstore.as_retriever()
-    
+
+    history_str = "\n".join([f"Human: {h[0]}\nAI: {h[1]}" for h in history])
+
     # from langchain.prompts import PromptTemplate
     
     from langchain_core.prompts import ChatPromptTemplate
@@ -57,13 +59,15 @@ def chatresponse(message, history):
     If somebody asks "Who are you?" or a similar phrase, state "I am Rishi's assistant built using a Large Language Model!"
     If the answer is not found in the context, kindly state "I don't know. Please ask Rishi on Discord. Discord Invite Link: https://discord.gg/6ezpZGeCcM. Or email at rishi@aiotsmartlabs.com" Don't try to make up an answer.
     
+    HISTORY: {history}
+    
     CONTEXT: {context}
     
     QUESTION: {question}""")
     
     from langchain_core.runnables import RunnablePassthrough
     rag_chain = (
-    {"context": history, "question": RunnablePassthrough()}
+    {"history": history_str, "context": retriever, "question": RunnablePassthrough()}
     | prompt
     | llm
     | StrOutputParser()