update app.py

app.py

@@ -9,7 +9,7 @@ model = AutoModelForImageClassification.from_pretrained("saved_model_files")
 labels = dataset['train'].features['labels'].names
 
 def classify(im):
-  features = feature_extractor(im, return_tensors='pt')
+  features = extractor(im, return_tensors='pt')
   logits = model(features["pixel_values"])[-1]
   probability = torch.nn.functional.softmax(logits, dim=-1)
   probs = probability[0].detach().numpy()