Update app.py

app.py

@@ -35,7 +35,8 @@ try:
     print(f"✅ Trained model '{MODEL_ID}' loaded successfully.")
 except Exception:
     print(f"❌ Could not load trained model '{MODEL_ID}'. Loading base model.")
-    pipe = DiffusionPipeline.from_pretrained(BASE_MODEL_ID, torch_dtype=DTYPE, safety_checker=None)
+    pipe = DiffusionPipeline.from_pretrained
+(BASE_MODEL_ID, torch_dtype=DTYPE, safety_checker=None)
 
 pipe = pipe.to(DEVICE)