Update app.py

app.py

@@ -8,7 +8,8 @@ model1 = from_pretrained_keras("arsath-sm/real-fake-face-detection-model1")
 model2 = from_pretrained_keras("arsath-sm/real-fake-face-detection-model2")
 
 def preprocess_image(image):
-    img = tf.image.resize(image, (150, 150))
+    img = tf.convert_to_tensor(image)
+    img = tf.image.resize(img, (150, 150))
     img = img / 255.0
     return tf.expand_dims(img, 0)
 
@@ -21,7 +22,6 @@ def predict_image(image):
     
     # Average the predictions
     avg_pred = (pred1 + pred2) / 2
-    
     result = "Real" if avg_pred > 0.5 else "Fake"
     confidence = avg_pred if avg_pred > 0.5 else 1 - avg_pred