Update app.py

app.py

@@ -79,7 +79,7 @@ if (anger + disgust) > 0.5 \
    and (lex_counts["anger"] > 0 or lex_counts["disgust"] > 0) \
    and mpqa_counts["strongsubj"] > 0 \
    and any(p in patterns for p in ["control","threat","insults","dismissiveness"]):
-    return "emotional threat"
+return "emotional threat"
 # ——— 1) Emotion Pipeline ————————————————————————————————————————————————
 emotion_pipeline = hf_pipeline(
     "text-classification",