Update app.py

app.py

@@ -19,14 +19,7 @@ from langchain.chains import RetrievalQA
 from langchain.prompts import PromptTemplate
 from langchain.embeddings.huggingface import HuggingFaceEmbeddings
 
-# Montez Google Drive
-loader = PyPDFLoader("test-1.pdf")
-data = loader.load()
-# split the documents into chunks
-text_splitter1 = CharacterTextSplitter(chunk_size=512, chunk_overlap=0,separator="\n\n")
-texts = text_splitter1.split_documents(data)
-db = FAISS.from_documents(texts,
-                          HuggingFaceEmbeddings(model_name='sentence-transformers/all-MiniLM-L12-v2'))
+db = FAISS.load_local("faiss_index", HuggingFaceEmbeddings(model_name='sentence-transformers/all-MiniLM-L12-v2'),allow_dangerous_deserialization=True)