Update app.py

app.py

@@ -62,7 +62,7 @@ def analyze_long_text_sentiment(text: str, chunk_size: int = 512) -> str:
     # Aggregate results by counting the frequency of each sentiment
     sentiment_counts = {label: sentiments.count(label) for label in set(sentiments)}
     return max(sentiment_counts, key=sentiment_counts.get)  # Return the most frequent sentiment
-
+'''
 # Function to detect emotions in short text
 def get_emotion(text: str) -> str:
     try:
@@ -71,7 +71,7 @@ def get_emotion(text: str) -> str:
         return emotion_label.capitalize()
     except Exception as e:
         return f"Error in emotion detection: {e}"
-
+'''
 def get_emotion(text: str) -> str:
     try:
         result = emotion_classifier(text)