Update model.py

model.py

@@ -55,15 +55,9 @@ def smart_summarize(text, n_clusters=1):
 # === Emotion Detection ===
 def detect_emotion(text):
     try:
-        result = emotion_pipeline(text)[0]
-        label = result["label"].lower()
-
-        # Fallback boost for weak detection
-        fallback_triggers = ["frustrated", "angry", "disappointed", "cancel", "quit", "switch", "leaving", "hate"]
-        if label == "neutral" and any(trigger in text.lower() for trigger in fallback_triggers):
-            return "frustrated"
-
-        return label
+        result = emotion_pipeline(text)
+        top_label = result[0][0]["label"] if isinstance(result[0], list) else result[0]["label"]
+        return top_label
     except Exception as e:
         logging.warning(f"Emotion detection failed: {e}")
         return "neutral"