Update app.py

app.py

@@ -394,67 +394,69 @@ def analyze_single_message(text, thresholds):
         key=lambda x: x[1],
         reverse=True
     )[:2]
-    # Escalation-based top label override
+
     ESCALATION_HIERARCHY = [
         "threat", "insults", "control", "blame shifting", "gaslighting",
         "guilt tripping", "projection", "dismissiveness", "contradictory statements",
         "recovery phase", "obscure language"
-]
+    ]
 
     label_scores = {label: score for label, score in zip(LABELS, scores)}
     passed = {label: score for label in threshold_labels if label in label_scores}
 
-       # 🛡️ Prevent obscure language from being chosen unless it crosses a hard threshold
-    MIN_OBSCURE_SCORE = 0.30
     # 🛡️ Prevent obscure language from being chosen unless it crosses a hard threshold
-
+    MIN_OBSCURE_SCORE = 0.30
     if "obscure language" in passed and passed["obscure language"] < MIN_OBSCURE_SCORE:
         del passed["obscure language"]
 
-# 🎯 Calculate matched scores
+    # 🎯 Calculate matched scores
     matched_scores = [
         (label, score, PATTERN_WEIGHTS.get(label, 1.0))
         for label, score in zip(LABELS, scores)
         if score > adjusted_thresholds[label]
-]
+    ]
 
-# 🏆 Determine top pattern
-if passed:
-    top_score = max(passed.values())
-    close_matches = {
-        label: score for label, score in passed.items()
-        if (top_score - score) <= 0.05
-    }
-    sorted_close = sorted(
-        close_matches.items(),
-        key=lambda x: ESCALATION_HIERARCHY.index(x[0])
-    )
-    top_pattern_label, top_pattern_score = sorted_close[0]
-else:
-    if not top_patterns:
-        top_pattern_label, top_pattern_score = "none", 0.0
+    # 🏆 Determine top pattern
+    if passed:
+        top_score = max(passed.values())
+        close_matches = {
+            label: score for label, score in passed.items()
+            if (top_score - score) <= 0.05
+        }
+        sorted_close = sorted(
+            close_matches.items(),
+            key=lambda x: ESCALATION_HIERARCHY.index(x[0])
+        )
+        top_pattern_label, top_pattern_score = sorted_close[0]
     else:
-        top_pattern_label, top_pattern_score = top_patterns[0]
-    top_score = top_pattern_score  # ✅ define this safely
+        if not top_patterns:
+            top_pattern_label, top_pattern_score = "none", 0.0
+        else:
+            top_pattern_label, top_pattern_score = top_patterns[0]
+        top_score = top_pattern_score
+
+    # 🧮 Compute abuse score
+    abuse_score_raw = compute_abuse_score(matched_scores, sentiment)
+    abuse_score = abuse_score_raw
 
-# 🧮 Compute abuse score
-abuse_score_raw = compute_abuse_score(matched_scores, sentiment)
-abuse_score = abuse_score_raw
+    stage = get_risk_stage(threshold_labels, sentiment) if threshold_labels else 1
 
-stage = get_risk_stage(threshold_labels, sentiment) if threshold_labels else 1
     if weapon_flag and stage < 2:
         stage = 2
 
     if weapon_flag:
         abuse_score_raw = min(abuse_score_raw + 25, 100)
 
-    abuse_score = min(abuse_score_raw, 100 if "threat" in threshold_labels or "control" in threshold_labels else 95)
+    abuse_score = min(
+        abuse_score_raw,
+        100 if "threat" in threshold_labels or "control" in threshold_labels else 95
+    )
 
-    # Get tone tag
+    # 🎭 Get tone tag
     tone_tag = get_emotional_tone_tag(emotion_profile, sentiment, threshold_labels, abuse_score)
     print(f"Emotional Tone Tag: {tone_tag}")
 
-    # Debug logs
+    # 🧾 Debug logs
     print("Emotion Profile:")
     for emotion, score in emotion_profile.items():
         print(f"  {emotion.capitalize():10}: {score}")
@@ -463,8 +465,8 @@ stage = get_risk_stage(threshold_labels, sentiment) if threshold_labels else 1
     print(f"Sentiment (via emotion): {sentiment} (score: {round(sentiment_score, 3)})")
     print("Abuse Pattern Scores:")
     for label, score in zip(LABELS, scores):
-        passed = "✅" if score > adjusted_thresholds[label] else "❌"
-        print(f"  {label:25} → {score:.3f} {passed}")
+        passed_mark = "✅" if score > adjusted_thresholds[label] else "❌"
+        print(f"  {label:25} → {score:.3f} {passed_mark}")
     print(f"Matched for score: {[(l, round(s, 3)) for l, s, _ in matched_scores]}")
     print(f"Abuse Score Raw: {round(abuse_score_raw, 1)}")
     print(f"Motifs: {motifs}")