Update app.py

app.py

@@ -17,7 +17,7 @@ from langchain.schema import (
 )
 from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
 from langchain_community.llms import HuggingFaceEndpoint
-from auditqa.process_chunks import load_chunks, getconfig
+from auditqa.process_chunks import load_chunks, getconfig, get_local_qdrant
 from langchain_community.chat_models.huggingface import ChatHuggingFace
 from langchain.retrievers import ContextualCompressionRetriever
 from langchain.retrievers.document_compressors import CrossEncoderReranker
@@ -51,6 +51,7 @@ model_config = getconfig("model_params.cfg")
 #### VECTOR STORE ####
 # reports contain the already created chunks from Markdown version of pdf reports
 # document processing was done using : https://github.com/axa-group/Parsr
+# We need to create the local vector store once using load_chunks
 vectorstores = load_chunks()