Update app.py

app.py

@@ -33,13 +33,14 @@ def load_model():
     )
 
     # Load LoRA from /lora if it exists
-    try:
-        model = PeftModel.from_pretrained(
-            base_model,
-            f"{MODEL_ID}/lora"
-        )
-    except Exception:
-        model = base_model
+    model = PeftModel.from_pretrained(
+    base_model,
+    f"{MODEL_ID}/lora",
+    is_trainable=False
+    )
+
+print("LoRA loaded")
+print(model.peft_config)
 
     model.to("cpu")
     model.eval()