Update app.py

app.py

@@ -19,7 +19,7 @@ from langchain.text_splitter import RecursiveCharacterTextSplitter
 
 
 from langchain import HuggingFacePipeline
-from langchain.chains import RetrievalQA
+
 from langchain.prompts import PromptTemplate
 from langchain.memory import ConversationBufferWindowMemory
 
@@ -93,16 +93,9 @@ def load_conversational_qa_memory_retriever():
         get_chat_history=lambda h :h)
     return conversational_qa_memory_retriever, question_generator
 
-def load_retriever(llm, db):
-    qa_retriever = RetrievalQA.from_chain_type(llm=llm, chain_type="stuff",
-                            retriever=db.as_retriever(),
-                            chain_type_kwargs= chain_type_kwargs)
 
-    return qa_retriever
 
-def retrieve_document(query_input):
-    related_doc = vector_database.similarity_search(query_input)
-    return related_doc
+
 
 
 
@@ -200,13 +193,6 @@ datetime_format= "%Y-%m-%d %H:%M:%S"
 
 
 
-load_scraped_web_info()
-embedding_model = load_embedding_model()
-vector_database = load_faiss_index()
-llm_model = load_llm_model()
-qa_retriever = load_retriever(llm= llm_model, db= vector_database)
-conversational_qa_memory_retriever, question_generator = load_conversational_qa_memory_retriever()
-print("all load done")
 
 
 # Try adding this to set to clear the memory in each session