Update app.py

app.py

@@ -10,7 +10,6 @@ model = tf.keras.models.load_model('pokemon_model.keras')
 class_names = ['Jolteon', 'Kakuna', 'Mr. Mime']
 
     def classify_image(image):
-    try:
     image = Image.fromarray(image.astype('uint8'), 'RGB')
     img = image.resize((160, 160))
     img_array = tf.keras.preprocessing.image.img_to_array(img)
@@ -19,9 +18,6 @@ class_names = ['Jolteon', 'Kakuna', 'Mr. Mime']
     predicted_class = class_names[np.argmax(predictions[0])]
     confidence = np.max(predictions[0])
     return predicted_class, confidence
-except Exception as e:
-    # Gib den Fehlerstring zurück
-    return str(e), 'Error'
 
 
 image_input = gr.Image()