Update app.py

app.py

@@ -127,7 +127,7 @@ def analyze_emotion(text):
         
         # Extract emotion scores
         if isinstance(emotions, list) and len(emotions) > 0:
-            emotion_scores = emotions[0]
+            emotion_scores = [item for item in emotions[0] if item['label'] != 'neutral']
             
             # Define emotion categories with their respective thresholds
             urgent_emotions = {
@@ -137,7 +137,10 @@ def analyze_emotion(text):
                 'disapproval': 0.30,
                 'nervousness': 0.25,
                 'disgust': 0.20,
-                'disappointment': 0.40
+                'disappointment': 0.40,
+                'grief': 0.05,  # Added more emotional states
+                'remorse': 0.10,
+                'sadness': 0.40
             }
             
             high_priority_emotions = {
@@ -146,7 +149,11 @@ def analyze_emotion(text):
                 'surprise': 0.15,
                 'curiosity': 0.25,
                 'optimism': 0.20,
-                'pride': 0.10
+                'pride': 0.10,
+                'joy': 0.40,    # Added more emotional states
+                'love': 0.25,
+                'admiration': 0.25,
+                'gratitude': 0.45
             }
             
             # Calculate weighted urgency scores