Update app.py

app.py

@@ -36,7 +36,7 @@ def load_pdf_and_generate_embeddings(pdf_doc, open_ai_key, relevant_pages):
         #In the scenario where none of the page numbers supplied exist in the PDF, we will revert to using the entire PDF.
         if len(pages_to_be_loaded) ==0:
             pages_to_be_loaded = pages.copy()
-        print(len(pages_to_be_loaded))
+        print("The document has been split into # of pages:", len(pages_to_be_loaded))
             
              
         #To create a vector store, we use the Chroma class, which takes the documents (pages in our case) and the embeddings instance