Update app.py

app.py

@@ -12,7 +12,7 @@ from langchain.chains import ConversationalRetrievalChain
 from langchain_community.embeddings import HuggingFaceBgeEmbeddings
 from langchain_community.vectorstores import FAISS
 from langchain_community.document_loaders import PyPDFLoader
-from dotenv import load_dotenv, find_dotenv
+# from dotenv import load_dotenv, find_dotenv
 import pickle
 import os
 from langchain_community.document_loaders import PyPDFDirectoryLoader
@@ -21,17 +21,22 @@ from langchain_community.document_loaders import PyPDFDirectoryLoader
 
 huggingfacehub_api_token = os.getenv("HUGGINGFACEHUB_API_TOKEN")
 
-# loader = UnstructuredPowerPointLoader("data/Hypertension.ppt")
 
-# documents = loader.load_and_split()
 
+try:
+    ##loading
+    vector_store = FAISS.load_local("wolo_database", model_norm, allow_dangerous_deserialization=True)
+    job_done = object()
+except:
+     
+    loader = PyPDFDirectoryLoader("wolo/")
+    
+    documents = loader.load_and_split()
+    
+  
 
-# loader = PyPDFDirectoryLoader("wolo/")
-
-# documents = loader.load_and_split()
-
+    
 # Define model and vector store
-
 embeddings = "BAAI/bge-base-en"
 encode_kwargs = {'normalize_embeddings': True}
 model_norm = HuggingFaceBgeEmbeddings(
@@ -45,9 +50,7 @@ model_norm = HuggingFaceBgeEmbeddings(
 # # saving the embeddings locally
 # vector_store.save_local("wolo_database")
 
-##loading
-vector_store = FAISS.load_local("wolo_database", model_norm, allow_dangerous_deserialization=True)
-job_done = object()
+