delete unused model

app.py

@@ -5,18 +5,6 @@ from transformers import pipeline
 
 detector = pipeline("object-detection", model="hustvl/yolos-tiny")
 
-# Load model directly
-from transformers import AutoImageProcessor, AutoModelForImageClassification
-
-processor = AutoImageProcessor.from_pretrained("microsoft/resnet-50")
-model = AutoModelForImageClassification.from_pretrained("microsoft/resnet-50")
-def food_classifier(image):
-  inputs = processor(image, return_tensors="pt")
-  logits = model(**inputs).logits
-  predicted_label = logits.argmax(-1).item()
-  label = model.config.id2label[predicted_label]
-  return [{'label': label, 'score': 0.0}]
-
 
 # Use a pipeline as a high-level helper
 from transformers import pipeline