Update app.py

app.py

@@ -4,9 +4,7 @@ import numpy as np
 from PIL import Image
 
 # Load your Keras model from Hugging Face
-model_url = "https://huggingface.co/chimithecat/penyakit_tomat/resolve/main/Tomato_Models.h5"
-model_path = tf.keras.utils.get_file("Tomato_Models.h5", model_url)
-model = tf.keras.models.load_model(model_path)
+model = pipeline("image-classification", model="wellCh4n/tomato-leaf-disease-classification-vit", top_k=10)
 
 # Customize your label names here based on your model's training
 class_names = [