Update app.py

app.py

@@ -9,7 +9,11 @@ import io
 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):
+    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}
 # Emotion model (no retraining needed)
 emotion_pipeline = hf_pipeline(
     "text-classification",