Update app.py

app.py

@@ -1,5 +1,5 @@
 import numpy as np
-from PIL import Image 
+from PIL import ImageOps 
 import gradio as gr
 from tensorflow.keras.utils import img_to_array
 from tensorflow.keras.models import load_model
@@ -9,9 +9,9 @@ model = load_model(r'deepfake_detection_model.h5')
 
 def predict_image(img):
 
-    x = img_to_array(img)
+    img = ImageOps.fit(img, (256, 256), Image.ANTIALIAS)
     
-    x = cv2.resize(x, (256, 256), interpolation=cv2.INTER_AREA)
+    x = img_to_array(img)
     
     x /= 255.0
 
@@ -41,9 +41,9 @@ example_data = ['AI POPE.jpg']
 
 gr.Interface(
     fn=predict_image,
-    inputs="image",
-    outputs=gr.Label(num_top_classes=15,min_width=360),
-    title="Deepfake Image Detection(CNN)",
+    inputs='image',
+    outputs='text',
+    title='Deepfake Image Detection(CNN)',
     description=description_html,
     allow_flagging='never',
     examples=example_data