Update app.py

app.py

@@ -1,28 +1,26 @@
 import gradio as gr
 from transformers import pipeline
 
-# Gunakan model publik yang valid
+# Gunakan model publik valid
 classifier = pipeline("image-classification", model="dima806/deepfake_vs_real_image_detection")
 
 def detect_ai(image):
-    # image dari Gradio
     results = classifier(image)
     label = results[0]['label']
     score = results[0]['score']
-    # format output
-    if "Real" in label:
+    # logika menentukan hasil
+    if "real" in label.lower():
         return f"✅ Foto Asli (confidence: {score:.2f})"
     else:
         return f"🤖 Gambar AI / Fake (confidence: {score:.2f})"
 
-# Interface Gradio
+# Buat interface Gradio
 demo = gr.Interface(
     fn=detect_ai,
     inputs=gr.Image(type="pil", label="Upload Gambar"),
     outputs=gr.Textbox(label="Hasil Deteksi"),
     title="AI vs Real Image Detector",
-    description="Upload gambar untuk mengecek apakah foto asli atau buatan AI.",
-    allow_flagging="never"
+    description="Upload gambar untuk mengecek apakah gambar asli atau buatan AI."
 )
 
 if __name__ == "__main__":