Upload 2 files

app.py

@@ -21,7 +21,7 @@ from langchain_community.vectorstores import FAISS
 from langchain_openai.embeddings import OpenAIEmbeddings
 from langchain_core.documents import Document
 from dotenv import load_dotenv
-from langchain.chains import RetrievalQA
+# from langchain.chains import RetrievalQA
 
 load_dotenv()
 
@@ -141,12 +141,6 @@ async def on_chat_start():
         temperature=0
         )
     
-    qa_chain = RetrievalQA(
-        retriever=finetune_retriever,
-        llm=rag_llm,
-        system_prompt=system_role_prompt,
-        user_prompt=user_role_prompt
-        )
 
     finetune_rag_chain = (
         {"context": itemgetter("question") | finetune_retriever, "question": itemgetter("question")}

requirements.txt

@@ -1,10 +1,5 @@
 numpy
 chainlit==0.7.700
-# openai
-# langchain_community
-# langchain_experimental
-# langchain_openai
-# langchain_huggingface
 langchain-core==0.2.40 
 langchain-openai==0.1.25 
 langchain-huggingface==0.0.3
@@ -12,5 +7,4 @@ pypdf
 sentence_transformers
 langchain_text_splitters
 langchain-community
-faiss-cpu
-# langchain
+faiss-cpu