Update app.py

app.py

@@ -139,8 +139,8 @@ class SpeechAnalyzer:
         basic_emotions = []
         
         for segment in segments:
-            # Get sentiment scores
-            sentiment_result = self.sentiment_pipeline(segment)
+            # Get sentiment scores with truncation
+            sentiment_result = self.sentiment_pipeline(segment, truncation=True, max_length=512)
             score = sentiment_result[0]['score']
             if sentiment_result[0]['label'] == 'POSITIVE':
                 score = 0.5 + (score * 0.5)
@@ -148,13 +148,14 @@ class SpeechAnalyzer:
                 score = 0.5 - (score * 0.5)
             sentiment_scores.append(score)
             
-            # Get emotion classification
-            emotion_result = self.emotion_classifier(segment)
+            # Get emotion classification with truncation
+            emotion_result = self.emotion_classifier(segment, truncation=True, max_length=512)
             emotion = emotion_result[0]['label']
             basic_emotions.append(emotion)
         
         return sentiment_scores, basic_emotions
 
+
     def detect_named_entities(self, text):
         """Detect named entities in the text"""
         entities = self.ner_pipeline(text)