Update app.py

app.py

@@ -5,10 +5,10 @@ import numpy as np
 import cv2
 
 # ----------------------------
-# MODEL DETEKSI AI
+# MODEL DETEKSI AI REALISTIS
 # ----------------------------
 try:
-    hf_detector = pipeline("image-classification", model="umm-maybe/AI-image-detector")
+    hf_detector = pipeline("image-classification", model="danielgatis/rembg-image-ai-detector")
 except Exception as e:
     hf_detector = None
     print("HF AI-detector gagal dimuat:", e)
@@ -44,7 +44,7 @@ def has_camera_exif(image):
     return False
 
 # ----------------------------
-# DETEKSI HYBRID DENGAN THRESHOLD LAMA
+# DETEKSI HYBRID
 # ----------------------------
 def detect_image(image: Image.Image):
     output_lines = []
@@ -58,12 +58,12 @@ def detect_image(image: Image.Image):
             result = hf_detector(image)
             hf_label = result[0]['label']
             hf_conf = result[0]['score'] * 100
-            if any(x in hf_label.lower() for x in ["fake", "ai", "artificial"]):
+            if any(x in hf_label.lower() for x in ["ai", "synthetic", "generated"]):
                 hf_score = hf_conf
         except:
             hf_score = 0
 
-    if hf_score > 50:  # threshold HF lama
+    if hf_score > 40:  # threshold lebih sensitif
         final_result = "🤖 AI Detected"
         weighted_score = hf_score
         output_lines.append(f"### Hasil Deteksi:\n{final_result}")
@@ -89,8 +89,8 @@ def detect_image(image: Image.Image):
     noise_score = calculate_noise(image)
     exif_present = has_camera_exif(image)
     local_score = 0
-    if blur_score < 100 or noise_score < 10:
-        local_score += 50
+    if blur_score < 80 or noise_score < 8:
+        local_score += 30  # lebih ringan
     if not exif_present:
         local_score += 10
 
@@ -114,9 +114,9 @@ def detect_image(image: Image.Image):
     return "\n".join(output_lines)
 
 # ----------------------------
-# Gradio Interface (5.x syntax)
+# Gradio 5.x Interface
 # ----------------------------
-with gr.Blocks(title="AI vs Foto Asli Detector (Versi Akurat)") as demo:
+with gr.Blocks(title="AI Realistic Detector (Gratis & Akurat)") as demo:
     gr.Markdown("Unggah gambar, sistem akan mendeteksi apakah gambar kemungkinan besar asli atau dihasilkan AI.")
     
     with gr.Row():