Update functions.py

functions.py

@@ -336,8 +336,6 @@ def chunk_and_preprocess_text(text, model_name= 'philschmid/flan-t5-base-samsum'
     
     tokenizer = AutoTokenizer.from_pretrained(model_name)
     sentences = sent_tokenize(text)
-
-    print("sentences: {sentences}")
     
     # initialize
     length = 0
@@ -574,7 +572,7 @@ def embed_text(query,_docsearch):
     
     question_generator = LLMChain(llm=chat_llm, prompt=CONDENSE_QUESTION_PROMPT) 
     doc_chain = load_qa_chain(llm=chat_llm,chain_type="stuff",prompt=load_prompt()) 
-    chain = ConversationalRetrievalChain(retriever=cfa_db.as_retriever(search_kwags={"k": 3}), 
+    chain = ConversationalRetrievalChain(retriever=_docsearch.as_retriever(search_kwags={"k": 3}), 
                                      question_generator=question_generator, 
                                      combine_docs_chain=doc_chain, 
                                      memory=memory,