Update query_data.py

query_data.py

@@ -1,19 +1,9 @@
 from langchain.prompts.prompt import PromptTemplate
 from langchain.llms import OpenAI
 from langchain.chains import ChatVectorDBChain
-from langchain.document_loaders import TextLoader
-loader = TextLoader('SMR4 publication.txt')
-from langchain.indexes import VectorstoreIndexCreator
-index = VectorstoreIndexCreator().from_loaders([loader])
-
-# Load Data
-loader = TextLoader("SMR4 publication.txt")
-raw_documents = loader.load()
-
 
 _template = """Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.
 You can assume the question about the SMR4 publication.
-index.query(query)
 
 Chat History:
 {chat_history}
@@ -30,8 +20,6 @@ Question: {question}
 {context}
 =========
 Answer in Markdown:"""
-index.query(query)
-
 QA_PROMPT = PromptTemplate(template=template, input_variables=["question", "context"])
 
 
@@ -44,4 +32,3 @@ def get_chain(vectorstore):
         condense_question_prompt=CONDENSE_QUESTION_PROMPT,
     )
     return qa_chain
-index.query(query)