Update app.py

app.py

@@ -40,7 +40,7 @@ THRESHOLDS = {
 }
 
 # ——— 3) Emotional-tone tagging (no abuse_score / DARVO) —————————————————————————————
-def get_tone_tag(emotion_profile, patterns):
+def get_emotional_tone_tag(emotion_profile, patterns):
     anger   = emotion_profile.get("anger",   0)
     disgust = emotion_profile.get("disgust", 0)
     sadness = emotion_profile.get("sadness", 0)
@@ -99,11 +99,12 @@ def analyze_message(text):
     # pick up all labels whose score >= threshold
     active = [lab for lab, sc in zip(LABELS, scores) if sc >= THRESHOLDS[lab]]
 
+    tone_tag = get_emotional_tone_tag(emotion_profile, active_patterns)
     return {
-        "emotion_profile": emotion_profile,
-        "active_patterns": active,
-        "tone_tag": tone_tag
-    }
+      "emotion_profile": emotion_profile,
+      "active_patterns": active_patterns,
+      "tone_tag": tone_tag     # ← make sure this line is present
+}
 
 
 def analyze_composite(uploaded_file, *texts):
@@ -125,10 +126,9 @@ def analyze_composite(uploaded_file, *texts):
         r = analyze_message(content)
         outputs.append(
             "── Uploaded File ──\n"
-            f"Matched Phrases   : {r['matched_phrases']}\n"
             f"Emotion Profile   : {r['emotion_profile']}\n"
             f"Active Patterns   : {r['active_patterns']}\n"
-            f"Emotional Tone    : {r['tone_tag']}\n"   # <-- use r['tone_tag']
+            f"Emotional Tone : {r['tone_tag']}\n"
         )
 
     # 2) Text-box blocks
@@ -138,10 +138,9 @@ def analyze_composite(uploaded_file, *texts):
         r = analyze_message(txt)
         outputs.append(
             f"── Message {idx} ──\n"
-            f"Matched Phrases   : {r['matched_phrases']}\n"
             f"Emotion Profile   : {r['emotion_profile']}\n"
             f"Active Patterns   : {r['active_patterns']}\n"
-            f"Emotional Tone    : {r['tone_tag']}\n"   # <-- and here, too
+            f"Emotional Tone : {r['tone_tag']}\n"
         )
 
     if not outputs: