app.py

import gradio as gr
from transformers import pipeline

# Gunakan model publik yang 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:
        return f"✅ Foto Asli (confidence: {score:.2f})"
    else:
        return f"🤖 Gambar AI / Fake (confidence: {score:.2f})"

# 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"
)

if __name__ == "__main__":
    demo.launch()