Update app.py

app.py

@@ -97,7 +97,8 @@ class SemanticSearch:
 #   chunks = text_to_chunks(texts, start_page=start_page)
 #    recommender.fit(chunks)
 #    return 'Corpus Loaded.'
-	
+
+# The modified function generates embeddings based on PDF file name and page number and checks if the embeddings file exists before loading or generating it.	
 def load_recommender(path, start_page=1):
     global recommender
     pdf_file = os.path.basename(path)