Update app.py

app.py

@@ -5,10 +5,10 @@ import numpy as np
 from PIL import Image
 
 # Load your trained Xception model
-model = tf.keras.models.load_model("your_xception_model.h5")
+model = tf.keras.models.load_model("xception-070523")
 
 # Define the labels for your classification (example: if you have 3 classes)
-class_labels = ['class1', 'class2', 'class3']  # Replace with your actual class names
+class_labels = ['0', '1', '2', '3']  # Replace with your actual class names
 
 def classify_image(img):
     # Preprocess the image to fit the model input shape