Update app.py

app.py

@@ -13,7 +13,7 @@ from transformers import pipeline, Wav2Vec2ProcessorWithLM
 from pyannote.audio import Pipeline
 import whisperx
 
-from utils import split_into_sentences, create_fig, color_map, thresholds
+from utils import split, create_fig, color_map, thresholds
 from utils import speech_to_text as stt
 
 os.environ["TOKENIZERS_PARALLELISM"] = "false"
@@ -85,6 +85,7 @@ 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]