Update app.py

app.py

@@ -7,6 +7,11 @@ from langchain.chains.question_answering import load_qa_chain
 from langchain.llms import OpenAI
 import gradio as gr
 from qdrant_client import QdrantClient
+from langchain.document_loaders import PagedPDFSplitter
+
+#load data
+loader = PagedPDFSplitter("Philippine National Formulary 8th Edition.pdf")
+docs = loader.load_and_split()
 
 
 #declare constants here
@@ -16,11 +21,7 @@ api_key = os.environ["QDRANT_API_KEY"]
 embeddings = OpenAIEmbeddings()
 
 #initialize vectorstore
-#qdrant = Qdrant.from_documents(host=host, prefer_grpc=True, api_key=api_key)
-qdrant = QdrantClient(
-    host, 
-    api_key,
-)
+qdrant = Qdrant.from_documents(docs, embeddings, host=host, prefer_grpc=True, api_key=api_key)
 
 #query pipeline
 def question_answering(question):