Update model/model.py

model/model.py

@@ -5,7 +5,7 @@ import numpy as np
 from PIL import Image
 
 def predict(image):
-    # Cargar el modelo
+    # Load the model
     model = AutoModelForImageClassification.from_pretrained('sensei-ml/concrete_crack_images_classification')
     device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
     model.eval()