Update app.py

app.py

@@ -129,11 +129,7 @@ def load_model_and_tokenizer():
         )
     
     # Load LoRA adapter if checkpoint exists
-    if os.path.exists(CHECKPOINT_PATH):
-        model = PeftModel.from_pretrained(base_model, CHECKPOINT_PATH)
-    else:
-        print("Warning: Checkpoint path not found, using base model only")
-        model = base_model
+    model = PeftModel.from_pretrained(base_model, CHECKPOINT_PATH)
     
     model.eval()
     print("✓ Model and LoRA adapter loaded successfully")