Update app.py

app.py

@@ -7,7 +7,7 @@ from tensorflow.keras.preprocessing.image import img_to_array
 from PIL import Image
 
 # Charger le modèle pré-entraîné
-model = load_model('plant_disease.h5')
+model = load_model('plant_diseases.h5')
 
 # Classes de labels (remplacez par vos propres classes)
 class_labels = ['Piment: Bacterial_spot', 'Piment: healthy', 'Pomme de terre: Early_blight', 'Pomme de terre: Late_blight', 'Pomme de terre: Healthy', 'Tomate: Bacterial Spot', 'Tomate: Early Blight', 'Tomate: Late Blight', 'Tomate: Leaf mold', 'Tomate: Septoria leaf spot', 'Tomate: Siper mites', 'Tomate: Spot', "Tomate: Yellow Leaf Curl", 'Tomate: Virus Mosaïque', 'Tomate: Healthy']