Update app.py

app.py

@@ -12,8 +12,7 @@ def calculate_blur(image):
 
 def calculate_noise(image):
     gray = np.array(image.convert("L"), dtype=np.float32)
-    noise_std = np.std(gray - np.mean(gray))
-    return noise_std
+    return np.std(gray - np.mean(gray))
 
 def has_camera_exif(image):
     try:
@@ -33,10 +32,8 @@ def high_freq_artifacts(image):
     f = np.fft.fft2(gray)
     fshift = np.fft.fftshift(f)
     magnitude_spectrum = np.abs(fshift)
-    # rasio energi high frequency vs total
     rows, cols = gray.shape
     crow, ccol = rows // 2 , cols // 2
-    # buat mask low freq
     r = min(crow, ccol) // 4
     mask = np.zeros((rows, cols))
     mask[crow-r:crow+r, ccol-r:ccol+r] = 1
@@ -46,45 +43,36 @@ def high_freq_artifacts(image):
     return high_ratio
 
 # ----------------------------
-# DETEKSI AI HYBRID
+# DETEKSI AI HYBRID SENSITIF
 # ----------------------------
 def detect_image(image: Image.Image):
-    output_lines = []
-
     blur_score = calculate_blur(image)
     noise_score = calculate_noise(image)
     exif_present = has_camera_exif(image)
     high_freq_score = high_freq_artifacts(image)
 
-    # Weighted scoring
-    score = 0
-    if blur_score < 80:
-        score += 20
-    if noise_score < 8:
-        score += 20
-    if not exif_present:
-        score += 10
-    if high_freq_score > 25:  # banyak high freq artifacts = AI
-        score += 50
+    # ---------- Aturan tegas & sensitif ----------
+    # Foto asli aman jika memiliki metadata atau noise > 10
+    is_ai = False
+    if (not exif_present) and (noise_score < 8) and (blur_score < 120) and (high_freq_score > 20):
+        is_ai = True
 
-    if score > 40:
-        final_result = "🤖 AI Detected"
-    else:
-        final_result = "✅ Foto Asli"
+    final_result = "🤖 AI Detected" if is_ai else "✅ Foto Asli"
 
-    output_lines.append(f"### Hasil Deteksi:\n{final_result}")
-    output_lines.append(f"Weighted Skor: {score:.2f}")
-    output_lines.append(f"Blur Score: {blur_score:.2f}")
-    output_lines.append(f"Noise Score: {noise_score:.2f}")
-    output_lines.append(f"High-Freq Artifacts Score: {high_freq_score:.2f}")
-    output_lines.append(f"Metadata Kamera: {'Ada' if exif_present else 'Tidak Ada'}")
+    output_lines = [
+        f"### Hasil Deteksi:\n{final_result}",
+        f"Blur Score: {blur_score:.2f}",
+        f"Noise Score: {noise_score:.2f}",
+        f"High-Freq Artifacts Score: {high_freq_score:.2f}",
+        f"Metadata Kamera: {'Ada' if exif_present else 'Tidak Ada'}"
+    ]
 
     return "\n".join(output_lines)
 
 # ----------------------------
 # GRADIO INTERFACE
 # ----------------------------
-with gr.Blocks(title="Hybrid AI Realistic Detector (Gratis)") as demo:
+with gr.Blocks(title="Hybrid AI Realistic Detector (Sensitif & Tegas)") as demo:
     gr.Markdown("Unggah gambar, sistem akan mendeteksi apakah gambar kemungkinan besar asli atau dihasilkan AI.")
     with gr.Row():
         img_input = gr.Image(type="pil", label="Unggah Gambar")