Update app.py

app.py

@@ -2,11 +2,11 @@ import gradio as gr
 from PIL import Image
 import numpy as np
 from tensorflow.keras.preprocessing import image as keras_image
-from tensorflow.keras.applications.xception import preprocess_input
+from tensorflow.keras.applications.resnet50 import preprocess_input
 from tensorflow.keras.models import load_model
 
 # Load your trained model
-model = load_model('/home/user/app/xception_model.h5')  # Ensure this path is correct
+model = load_model('/home/user/app/resnet50.h5')  # Ensure this path is correct
 
 def predict_character(img):
     img = Image.fromarray(img.astype('uint8'), 'RGB')  # Ensure the image is in RGB format