Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load model dari Hugging Face (pretrained AI image detector)
+classifier = pipeline("image-classification", model="dima806/fake-image-detection")
+
+def detect_image(img):
+    results = classifier(img)
+    # Ambil hasil dengan skor tertinggi
+    top_result = max(results, key=lambda x: x["score"])
+    label = top_result["label"]
+    score = round(top_result["score"] * 100, 2)
+    
+    if label.lower() == "fake":
+        return f"🚨 Gambar kemungkinan besar AI Generated ({score}%)"
+    else:
+        return f"✅ Gambar kemungkinan besar Asli ({score}%)"
+
+# Gradio UI
+demo = gr.Interface(
+    fn=detect_image,
+    inputs=gr.Image(type="filepath"),
+    outputs="text",
+    title="AI Image Detector",
+    description="Upload foto untuk mendeteksi apakah gambar asli atau AI generated."
+)
+
+demo.launch()