Update app.py

app.py

@@ -6,42 +6,42 @@ import tensorflow_hub as hub
 path = '20220804-16551659632113-all-images-Adam.h5'
 model = tf.keras.models.load_model(path,custom_objects={"KerasLayer":hub.KerasLayer})
 
-    labels = ['affenpinscher', 'afghan_hound', 'african_hunting_dog', 'airedale',
-       'american_staffordshire_terrier', 'appenzeller',
-       'australian_terrier', 'basenji', 'basset', 'beagle',
-       'bedlington_terrier', 'bernese_mountain_dog',
-       'black-and-tan_coonhound', 'blenheim_spaniel', 'bloodhound',
-       'bluetick', 'border_collie', 'border_terrier', 'borzoi',
-       'boston_bull', 'bouvier_des_flandres', 'boxer',
-       'brabancon_griffon', 'briard', 'brittany_spaniel', 'bull_mastiff',
-       'cairn', 'cardigan', 'chesapeake_bay_retriever', 'chihuahua',
-       'chow', 'clumber', 'cocker_spaniel', 'collie',
-       'curly-coated_retriever', 'dandie_dinmont', 'dhole', 'dingo',
-       'doberman', 'english_foxhound', 'english_setter',
-       'english_springer', 'entlebucher', 'eskimo_dog',
-       'flat-coated_retriever', 'french_bulldog', 'german_shepherd',
-       'german_short-haired_pointer', 'giant_schnauzer',
-       'golden_retriever', 'gordon_setter', 'great_dane',
-       'great_pyrenees', 'greater_swiss_mountain_dog', 'groenendael',
-       'ibizan_hound', 'irish_setter', 'irish_terrier',
-       'irish_water_spaniel', 'irish_wolfhound', 'italian_greyhound',
-       'japanese_spaniel', 'keeshond', 'kelpie', 'kerry_blue_terrier',
-       'komondor', 'kuvasz', 'labrador_retriever', 'lakeland_terrier',
-       'leonberg', 'lhasa', 'malamute', 'malinois', 'maltese_dog',
-       'mexican_hairless', 'miniature_pinscher', 'miniature_poodle',
-       'miniature_schnauzer', 'newfoundland', 'norfolk_terrier',
-       'norwegian_elkhound', 'norwich_terrier', 'old_english_sheepdog',
-       'otterhound', 'papillon', 'pekinese', 'pembroke', 'pomeranian',
-       'pug', 'redbone', 'rhodesian_ridgeback', 'rottweiler',
-       'saint_bernard', 'saluki', 'samoyed', 'schipperke',
-       'scotch_terrier', 'scottish_deerhound', 'sealyham_terrier',
-       'shetland_sheepdog', 'shih-tzu', 'siberian_husky', 'silky_terrier',
-       'soft-coated_wheaten_terrier', 'staffordshire_bullterrier',
-       'standard_poodle', 'standard_schnauzer', 'sussex_spaniel',
-       'tibetan_mastiff', 'tibetan_terrier', 'toy_poodle', 'toy_terrier',
-       'vizsla', 'walker_hound', 'weimaraner', 'welsh_springer_spaniel',
-       'west_highland_white_terrier', 'whippet',
-       'wire-haired_fox_terrier', 'yorkshire_terrier']
+labels = ['affenpinscher', 'afghan_hound', 'african_hunting_dog', 'airedale',
+    'american_staffordshire_terrier', 'appenzeller',
+    'australian_terrier', 'basenji', 'basset', 'beagle',
+    'bedlington_terrier', 'bernese_mountain_dog',
+    'black-and-tan_coonhound', 'blenheim_spaniel', 'bloodhound',
+    'bluetick', 'border_collie', 'border_terrier', 'borzoi',
+    'boston_bull', 'bouvier_des_flandres', 'boxer',
+    'brabancon_griffon', 'briard', 'brittany_spaniel', 'bull_mastiff',
+    'cairn', 'cardigan', 'chesapeake_bay_retriever', 'chihuahua',
+    'chow', 'clumber', 'cocker_spaniel', 'collie',
+    'curly-coated_retriever', 'dandie_dinmont', 'dhole', 'dingo',
+    'doberman', 'english_foxhound', 'english_setter',
+    'english_springer', 'entlebucher', 'eskimo_dog',
+    'flat-coated_retriever', 'french_bulldog', 'german_shepherd',
+    'german_short-haired_pointer', 'giant_schnauzer',
+    'golden_retriever', 'gordon_setter', 'great_dane',
+    'great_pyrenees', 'greater_swiss_mountain_dog', 'groenendael',
+    'ibizan_hound', 'irish_setter', 'irish_terrier',
+    'irish_water_spaniel', 'irish_wolfhound', 'italian_greyhound',
+    'japanese_spaniel', 'keeshond', 'kelpie', 'kerry_blue_terrier',
+    'komondor', 'kuvasz', 'labrador_retriever', 'lakeland_terrier',
+    'leonberg', 'lhasa', 'malamute', 'malinois', 'maltese_dog',
+    'mexican_hairless', 'miniature_pinscher', 'miniature_poodle',
+    'miniature_schnauzer', 'newfoundland', 'norfolk_terrier',
+    'norwegian_elkhound', 'norwich_terrier', 'old_english_sheepdog',
+    'otterhound', 'papillon', 'pekinese', 'pembroke', 'pomeranian',
+    'pug', 'redbone', 'rhodesian_ridgeback', 'rottweiler',
+    'saint_bernard', 'saluki', 'samoyed', 'schipperke',
+    'scotch_terrier', 'scottish_deerhound', 'sealyham_terrier',
+    'shetland_sheepdog', 'shih-tzu', 'siberian_husky', 'silky_terrier',
+    'soft-coated_wheaten_terrier', 'staffordshire_bullterrier',
+    'standard_poodle', 'standard_schnauzer', 'sussex_spaniel',
+    'tibetan_mastiff', 'tibetan_terrier', 'toy_poodle', 'toy_terrier',
+    'vizsla', 'walker_hound', 'weimaraner', 'welsh_springer_spaniel',
+    'west_highland_white_terrier', 'whippet',
+    'wire-haired_fox_terrier', 'yorkshire_terrier']
 
 # load the model
 def predict_breed(image):