Update app.py

app.py

@@ -17,6 +17,9 @@ texts = text_splitter.split_documents(data)
 
 # Create a vector store
 embeddings = SentenceTransformer("sentence-transformers/all-mpnet-base-v2")
+texts = [doc.page_content for doc in texts]  # Get the text content from the documents
+embeddings = embeddings.encode(texts)  # Get the embeddings for the texts
+
 vector_store = FAISS.from_texts(texts, embeddings)
 
 # Initialize the HuggingFaceHub LLM