Trying to understand the code so I have to do this in parts

app.py

@@ -71,6 +71,12 @@ def segment_images(model_name,url_input,image_input,threshold):
     if "detr" in model_name:
         pass
     elif "maskformer" in model_name.lower():
+        # Load the processor and model
+        processor = MaskFormerForInstanceSegmentation.from_pretrained(model_name)
+        print(type(processor))
+        model = MaskFormerForInstanceSegmentation.from_pretrained(model_name)
+
+        inputs = processor(images=image, return_tensors="pt")
         pass
     else:
         raise NameError("Model is not implemented")