Update app.py

app.py

@@ -1,14 +1,13 @@
 from transformers import pipeline
 import gradio as gr
 
-
 classifier = pipeline("image-classification", model="SADRACODING/SDXL-Deepfake-Detector")
 
 def predict(image):
     if image is None:
         return None
     results = classifier(image)
-    return result["label"]
+    return results[0]["label"]
 
 gr.Interface(
     fn=predict,
@@ -16,5 +15,8 @@ gr.Interface(
     outputs=gr.Label(label="Prediction"),
     title="🔍 SDXL Deepfake Detector",
     description="Upload a face image to detect if it's AI-generated (deepfake) or real.",
-    examples=[]
+    examples=[
+        ["example_real.jpg"],
+        ["example_fake.jpg"]
+    ]
 ).launch()