trying again cpt

app.py

@@ -3,7 +3,7 @@ import os
 from langchain_community.vectorstores import Chroma
 from langchain_community.embeddings import HuggingFaceBgeEmbeddings
 from langchain_community.llms import Together
-from langchain.chains import ConversationalRetrievalChain, LLMChain
+from langchain.chains import create_retrieval_chain, create_history_aware_retriever, LLMChain
 from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder, PromptTemplate
 from langchain.memory import ConversationBufferMemory
 from langchain_community.chat_message_histories import StreamlitChatMessageHistory
@@ -96,14 +96,17 @@ def app():
     ANSWER_PROMPT = ChatPromptTemplate.from_template(answer_template)
 
     question_generator_chain = LLMChain(llm=llmc, prompt=CONDENSE_QUESTION_PROMPT)
-    qa_chain = LLMChain(llm=llm, prompt=ANSWER_PROMPT)
+    combine_docs_chain = LLMChain(llm=llm, prompt=ANSWER_PROMPT)
 
-    conversational_qa_chain = ConversationalRetrievalChain(
+    history_aware_retriever = create_history_aware_retriever(
+        llm=llmc,
         retriever=retriever,
-        memory=memory,
-        combine_docs_chain=_combine_documents,
-        question_generator=question_generator_chain,
-        qa_chain=qa_chain
+        prompt=CONDENSE_QUESTION_PROMPT
+    )
+
+    conversational_qa_chain = create_retrieval_chain(
+        history_aware_retriever,
+        combine_docs_chain
     )
 
     st.header("Ask Away!")
@@ -126,12 +129,12 @@ def app():
                     try:
                         response = conversational_qa_chain.invoke(
                             {
-                                "question": prompts2,
+                                "input": prompts2,
                                 "chat_history": chistory,
                             }
                         )
-                        st.write(response)
-                        message = {"role": "assistant", "content": response}
+                        st.write(response["answer"])
+                        message = {"role": "assistant", "content": response["answer"]}
                         st.session_state.messages.append(message)
                         break
                     except Exception as e: