Update app.py

app.py

@@ -16,6 +16,7 @@ from langchain.schema import (
 from langchain_core.output_parsers import StrOutputParser
 from langchain_core.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
 from langchain_community.llms import HuggingFaceEndpoint
+from process_chunks import load_chunks
 from langchain_community.chat_models.huggingface import ChatHuggingFace
 from qdrant_client.http import models as rest
 #from qdrant_client import QdrantClient
@@ -34,7 +35,7 @@ HF_token = os.environ["HF_TOKEN"]
 # process all files and get the vectorstores collections
 # vectorestore colection are stored on persistent storage so this needs to be run only once
 # hence, comment out line below when creating for first time
-vectorstores = process_pdf()
+vectorstores = load_chunks()
 # once the vectore embeddings  are created we will qdrant client to access these
 #vectorstores = get_local_qdrant()