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Update app.py
Browse files
app.py
CHANGED
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@@ -44,30 +44,45 @@ def has_camera_exif(image):
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return False
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# ----------------------------
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# DETEKSI HYBRID
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# ----------------------------
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def detect_image(image):
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general_score = 0
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local_score = 0
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# -------- HF AI-detector --------
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if hf_detector:
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try:
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result = hf_detector(image)
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except:
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hf_score = 0
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# -------- General model --------
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if general_model:
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try:
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result2 = general_model(image)
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except:
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general_score = 0
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@@ -81,26 +96,24 @@ def detect_image(image):
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if not exif_present:
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local_score += 10
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# -------- Weighted Score --------
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if
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final_result = "π€ AI Detected"
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else:
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final_result = "β
Foto Asli"
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### Hasil Deteksi
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{
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**HF AI-detector:** {result[0]['label']} ({result[0]['score']*100:.2f}%)
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**General Model:** {result2[0]['label']} ({result2[0]['score']*100:.2f}%)
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**Blur Score:** {blur_score:.2f}
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**Noise Score:** {noise_score:.2f}
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**Metadata Kamera:** {'Ada' if exif_present else 'Tidak Ada'}
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"""
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return output
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# ----------------------------
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# Gradio Interface
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@@ -109,8 +122,8 @@ iface = gr.Interface(
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fn=detect_image,
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inputs=gr.Image(type="pil"),
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outputs="markdown",
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title="AI vs Foto Asli Detector (
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description="Unggah gambar, sistem
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)
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if __name__ == "__main__":
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return False
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# ----------------------------
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# DETEKSI HYBRID HF PRIORITAS
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# ----------------------------
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def detect_image(image):
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output_lines = []
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# -------- HF AI-detector --------
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hf_score = 0
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hf_label = "N/A"
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hf_conf = 0
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if hf_detector:
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try:
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result = hf_detector(image)
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hf_label = result[0]['label']
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hf_conf = result[0]['score'] * 100
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# tentukan HF score AI relevan
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if any(x in hf_label.lower() for x in ["fake", "ai", "artificial"]):
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hf_score = hf_conf
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except:
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hf_score = 0
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# Jika HF confidence tinggi β langsung AI
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if hf_score > 60:
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final_result = "π€ AI Detected"
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weighted_score = hf_score
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output_lines.append(f"### Hasil Deteksi:\n{final_result}")
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output_lines.append(f"HF AI-detector: {hf_label} ({hf_conf:.2f}%)")
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return "\n".join(output_lines)
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# -------- General model --------
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general_score = 0
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general_label = "N/A"
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general_conf = 0
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if general_model:
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try:
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result2 = general_model(image)
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general_label = result2[0]['label']
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general_conf = result2[0]['score'] * 100
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if any(x in general_label.lower() for x in ["anime","cartoon","illustration","maya"]):
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general_score = general_conf
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except:
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general_score = 0
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if not exif_present:
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local_score += 10
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# -------- Weighted Score (general + local) --------
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weighted_score = general_score*0.6 + local_score*0.4
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if weighted_score > 50:
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final_result = "π€ AI Detected"
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else:
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final_result = "β
Foto Asli"
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# -------- Output --------
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output_lines.append(f"### Hasil Deteksi:\n{final_result}")
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output_lines.append(f"Weighted Skor: {weighted_score:.2f}")
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output_lines.append(f"HF AI-detector: {hf_label} ({hf_conf:.2f}%)")
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output_lines.append(f"General Model: {general_label} ({general_conf:.2f}%)")
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output_lines.append(f"Blur Score: {blur_score:.2f}")
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output_lines.append(f"Noise Score: {noise_score:.2f}")
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output_lines.append(f"Metadata Kamera: {'Ada' if exif_present else 'Tidak Ada'}")
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return "\n".join(output_lines)
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# ----------------------------
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# Gradio Interface
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fn=detect_image,
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inputs=gr.Image(type="pil"),
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outputs="markdown",
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title="AI vs Foto Asli Detector (HF Prioritas)",
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description="Unggah gambar, sistem akan mendeteksi apakah gambar kemungkinan besar asli atau dihasilkan AI."
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)
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if __name__ == "__main__":
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