Update app.py

app.py

@@ -6,7 +6,7 @@ from tensorflow.keras.applications.resnet50 import preprocess_input
 from tensorflow.keras.models import load_model
 
 # Load your trained model
-model = load_model('C:\Users\kewin\OneDrive\Desktop\OnePieceCharakter\Datensätze\OnePiece')  # Ensure this path is correct
+model = load_model('/home/user/app/franckew.h5')  # Ensure this path is correct
 
 def predict_pokemon(img):
     img = Image.fromarray(img.astype('uint8'), 'RGB')  # Ensure the image is in RGB
@@ -23,8 +23,8 @@ def predict_pokemon(img):
 interface = gr.Interface(fn=predict_pokemon, 
                          inputs="image",  # Simplified input type
                          outputs="label",  # Simplified output type
-                         title="Pokémon Classifier",
-                         description="Upload an image of a Pokémon and the classifier will predict its species.")
+                         title="One Piece Classifier",
+                         description="Upload an image of a OP Character and the classifier will predict its name.")
 
 # Launch the interface
 interface.launch()