Update app.py

app.py

@@ -68,16 +68,16 @@ triggered_scores = [score for label, score in zip(LABELS, scores) if score > thr
 return round(np.mean(triggered_scores) * 100, 2) if triggered_scores else 0.0
 
 def interpret_abuse_level(score):
-if score > 80: return “Extreme / High Risk”
-elif score > 60: return “Severe / Harmful Pattern Present”
-elif score > 40: return “Likely Abuse”
-elif score > 20: return “Mild Concern”
-return “Very Low / Likely Safe”
+if score > 80: return "Extreme / High Risk"
+elif score > 60: return "Severe / Harmful Pattern Present"
+elif score > 40: return "Likely Abuse"
+elif score > 20: return "Mild Concern"
+return "Very Low / Likely Safe"
 
 def analyze_messages(input_text, risk_flags):
 input_text = input_text.strip()
 if not input_text:
-return “Please enter a message for analysis.”
+return "Please enter a message for analysis."
 
 sentiment = custom_sentiment(input_text)
 sentiment_label = sentiment['label']