Update app.py

app.py

@@ -26,8 +26,8 @@ def get_model():
         ).to(device).eval()
     return tokenizer, model
 
-# Threshold for Verdict Label
-THRESHOLD = 0.60 
+# Threshold for Verdict Label (Updated to match your 40% logic)
+THRESHOLD = 0.41 
 
 # -----------------------------
 # PROTECT STRUCTURE
@@ -126,12 +126,13 @@ def analyze(text):
             highlighted_html += block
     highlighted_html += "</div>"
 
-    # --- THE FIXES ---
-    # 1. Verdict Label Fix
-    label = "AI Content Detected" if weighted_avg >= THRESHOLD else "0 or * AI Content Detected"
-    
-    # 2. Weighted Score Fix: If below 50%, show '*'
-    display_score = f"{weighted_avg:.1%}" if weighted_avg >= 0.50 else "*"
+    # --- UPDATED LOGIC PER REQUEST ---
+    if weighted_avg > 0.40:
+        label = f"{weighted_avg:.0%} AI Content Detected"
+        display_score = f"{weighted_avg:.1%}"
+    else:
+        label = "0 or * AI Content Detected"
+        display_score = "*"
     
     df = pd.DataFrame({"Sentence": pure_sents, "AI Confidence": [f"{p:.1%}" for p in probs]})
     return label, display_score, highlighted_html, df
@@ -141,7 +142,7 @@ def analyze(text):
 # -----------------------------
 with gr.Blocks(theme=gr.themes.Soft()) as demo:
     gr.Markdown("## 🕵️ AI Detector Pro")
-    gr.Markdown("Sentence-level analysis. **Green < 60% | Score masked if < 50%**")
+    gr.Markdown("Sentence-level analysis. **Score is hidden (*) if at or below 40%.**")
     
     with gr.Row():
         with gr.Column(scale=3):