Update app.py

app.py

@@ -54,7 +54,7 @@ image_examples = [
 
 def load_model(base_model_path, lora_path):
     global pipe
-    transformer = FluxTransformer2DModel.from_pretrained(base_model_path, use_auth_token=os.getenv("flux")), subfolder='transformer', torch_dtype=torch.bfloat16)
+    transformer = FluxTransformer2DModel.from_pretrained(base_model_path, use_auth_token=os.getenv("flux"), subfolder='transformer', torch_dtype=torch.bfloat16)
     gr.Info(str(f"Model loading: {int((40 / 100) * 100)}%"))
     # enable image inputs
     with torch.no_grad():