Update app.py

app.py

@@ -332,6 +332,11 @@ def compute_abuse_score(matched_scores, sentiment):
         adjusted_score += 10
 
     return min(adjusted_score, 100)
+    def get_emotion_profile(text):
+    emotions = emotion_pipeline(text)
+    if isinstance(emotions, list) and isinstance(emotions[0], list):
+        emotions = emotions[0]
+    return {e['label'].lower(): round(e['score'], 3) for e in emotions}
 def analyze_single_message(text, thresholds):
     motif_hits, matched_phrases = detect_motifs(text)