Update app.py

app.py

@@ -2,10 +2,10 @@
 from gradio import Interface, Image, Label
 import tensorflow as tf
 # Load your TensorFlow model
-model = tf.keras.models.load_model("bird_species_classification_model.h5")
+model = tf.keras.models.load_model("a.h5")
 
 # Define your class names if needed
-class_names = ['ABBOTTS BABBLER', 'ABBOTTS BOOBY', 'ABYSSINIAN GROUND HORNBILL', 'AFRICAN CROWNED CRANE', 'AFRICAN EMERALD CUCKOO', 'AFRICAN FIREFINCH', 'AFRICAN OYSTER CATCHER', 'AFRICAN PIED HORNBILL', 'AFRICAN PYGMY GOOSE', 'ALBATROSS', 'ALBERTS TOWHEE', 'ALEXANDRINE PARAKEET', 'ALPINE CHOUGH', 'ALTAMIRA YELLOWTHROAT', 'AMERICAN AVOCET', 'AMERICAN BITTERN', 'AMERICAN COOT', 'AMERICAN FLAMINGO', 'AMERICAN GOLDFINCH', 'AMERICAN KESTREL']
+class_names = ['Asian-Green-Bee-Eater', 'Brown-Headed-Barbet', 'Cattle-Egret', 'Common-Kingfisher', 'Common-Myna', 'House-Crow', 'Indian-Grey-Hornbill', 'Indian-Peacock', 'Indian-Roller', 'White-Breasted-Kingfisher']
 
 
 # Function to make predictions