Update app.py

app.py

@@ -79,17 +79,16 @@ def sentiment(diarized, emotion_pipeline):
     """
 
     customer_sentiments = []
-    sentences = split(speaker_speech)
 
     for i in range(0, len(diarized), 2):
         speaker_speech, speaker_id = diarized[i]
         times, _ = diarized[i + 1]
 
+        sentences = split_into_sentences(speaker_speech)
+        
         start_time, end_time = times[5:].split("-")
         start_time, end_time = float(start_time), float(end_time)
         interval_size = (end_time - start_time) / len(sentences)
-
-        sentences = split_into_sentences(speaker_speech)
         if "Customer" in speaker_id:
 
             outputs = emotion_pipeline(sentences)