Update app.py

app.py

@@ -10,7 +10,7 @@ from PIL import Image
 from datetime import datetime
 from transformers import pipeline as hf_pipeline  # prevent name collision with gradio pipeline
 
-def get_emotion_profile(text):
+def get_emotional_tone_tag(emotions, sentiment, patterns, abuse_score, text):
     emotions = emotion_pipeline(text)
     if isinstance(emotions, list) and isinstance(emotions[0], list):
         emotions = emotions[0]
@@ -130,7 +130,7 @@ ESCALATION_QUESTIONS = [
     ("Violence has increased in frequency or severity", 3),
     ("Partner monitors your calls/GPS/social media", 2)
 ]
-def get_emotional_tone_tag(emotions, sentiment, patterns, abuse_score):
+tone_tag = get_emotional_tone_tag(emotion_profile, sentiment, threshold_labels, abuse_score):
     sadness = emotions.get("sadness", 0)
     joy = emotions.get("joy", 0)
     neutral = emotions.get("neutral", 0)
@@ -454,7 +454,7 @@ def analyze_single_message(text, thresholds):
         label for label, score in zip(LABELS, scores)
         if score > adjusted_thresholds[label]
     ]
-    tone_tag = get_emotional_tone_tag(emotion_profile, sentiment, threshold_labels, 0)
+   tone_tag = get_emotional_tone_tag(emotion_profile, sentiment, threshold_labels, 0, text)
 
 
     top_patterns = sorted(
@@ -490,7 +490,7 @@ def analyze_single_message(text, thresholds):
     )
 
 # Tag must happen after abuse score is finalized
-    tone_tag = get_emotional_tone_tag(emotion_profile, sentiment, threshold_labels, abuse_score)
+    tone_tag = get_emotional_tone_tag(emotion_profile, sentiment, threshold_labels, abuse_score, text)
 
 # ---- Profanity + Anger Override Logic ----
     profane_words = {"fuck", "fucking", "bitch", "shit", "cunt", "ho", "asshole", "dick", "whore", "slut"}