Update app.py

app.py

@@ -121,7 +121,14 @@ def load_document_store():
         print(f"Loaded {len(document_store)} documents into document_store.")
     else:
         print("Error: knowledgebase.txt not found!")
-     
+        
+    # Generate embeddings for all documents
+    embeddings = bertmodel.encode(all_texts)
+    embeddings = embeddings.astype("float32")
+    
+    # Add embeddings to FAISS index
+    index.add_with_ids(embeddings, np.array(list(document_store.keys()), dtype=np.int64))
+    print(f"Added {len(all_texts)} document embeddings to FAISS index.") 
 
 def load_document_store_once(file_path):
     """Loads knowledgebase.txt into a dictionary where FAISS IDs map to text and embeddings"""