Update app.py

app.py

@@ -10,7 +10,7 @@ def food_not_food_classifier(text: str) -> Dict[str, float]:
     # Set up text classification pipeline
     food_not_food_classifier = pipeline(task="text-classification", 
                                         # Because our model is on Hugging Face already, we can pass in the model name directly
-                                        model="burman-ai/DistilBert-base-uncased", # link to model on HF Hub
+                                        model="burman-ai/bert-base-uncased", # link to model on HF Hub
                                         device="cuda" if torch.cuda.is_available() else "cpu",
                                         top_k=None) # return all possible scores (not just top-1)