Update app.py

app.py

@@ -34,19 +34,7 @@ if not torch.cuda.is_available():
     
 predictor = DefaultPredictor(cfg)
 my_metadata = MetadataCatalog.get("car_part_merged_dataset_val")
-my_metadata.thing_classes = ['back_bumper',
- 'back_glass',
- 'back__door',
- 'back__light',
- 'front_bumper',
- 'front_glass',
- 'front__door',
- 'front__light',
- 'hood',
- '_mirror',
- 'tailgate',
- 'trunk',
- 'wheel']
+my_metadata.thing_classes =['back_bumper','back_glass','back__door','back__light','front_bumper','front_glass','front__door','front__light','hood','_mirror','tailgate','trunk','wheel']
 
 def inference(image):
     print(image.height)