Update main.py

main.py

@@ -37,7 +37,7 @@ pinecone.init(
 )
     
 @cl.cache
-def retriever_to_cache(index_name, embeddings):
+def retriever_to_cache():
     vectorstore = Pinecone.from_existing_index(
         index_name=index_name, embedding=embeddings
     )
@@ -170,7 +170,7 @@ async def start():
         )
         #question_generator = LLMChain(llm=llm, prompt=CONDENSE_QUESTION_PROMPT)
         #doc_chain = load_qa_chain(streaming_llm, chain_type="stuff")
-        relevant=retriever_to_cache(index_name, embeddings)
+        relevant=retriever_to_cache()
         qa = ConversationalRetrievalChain.from_llm(
             streaming_llm,
             chain_type="stuff",