Update app.py

app.py

@@ -1,46 +1,45 @@
 from transformers import pipeline
 import gradio as gr
-from PIL import Image, ExifTags
+from PIL import ExifTags
 
-# Muat model Hugging Face khusus deteksi AI
-classifier = pipeline("image-classification", model="elacour/ai-image-detection")
+# Pakai model publik (gratis, tanpa login)
+classifier = pipeline("image-classification", model="orpatashnik/image-real-fake")
 
 def detect_image(image):
     # --- Cek metadata (EXIF) ---
-    exif = {}
+    exif_result = "⚠️ Tidak ada metadata kamera"
     try:
         raw_exif = image._getexif()
         if raw_exif:
-            exif = {ExifTags.TAGS.get(k, k): v for k, v in raw_exif.items()}
+            exif_result = "✅ Metadata kamera terdeteksi"
     except:
         pass
-    
-    if not exif:
-        exif_result = "⚠️ Tidak ada metadata kamera → kemungkinan besar AI atau editan"
-    else:
-        exif_result = "✅ Metadata kamera terdeteksi"
 
     # --- Prediksi model ---
     results = classifier(image)
     label = results[0]["label"]
     score = results[0]["score"] * 100
 
-    if "fake" in label.lower() or "ai" in label.lower():
+    if "fake" in label.lower():
         verdict = "🚨 Kemungkinan besar Hasil AI"
     else:
         verdict = "📷 Kemungkinan besar Foto Asli"
 
-    # --- Gabungan hasil ---
-    final_result = f"{verdict}\n\nLabel Model: {label}\nConfidence: {score:.2f}%\n\nCek Metadata: {exif_result}"
-    return final_result
+    return f"""{verdict}
+
+Label Model: {label}
+Confidence: {score:.2f}%
+
+Cek Metadata: {exif_result}
+"""
 
-# Buat UI Gradio
+# Gradio app
 iface = gr.Interface(
     fn=detect_image,
     inputs=gr.Image(type="pil"),
     outputs="text",
-    title="Hybrid AI Image Detector",
-    description="Upload foto untuk mendeteksi apakah gambar hasil kamera asli atau hasil AI."
+    title="AI Image Detector (Gratis)",
+    description="Upload gambar untuk mendeteksi apakah foto asli atau hasil AI"
 )
 
 iface.launch()