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, summarize, sentiment, color_map
+from utils import split_into_sentences, sentiment, color_map
 from utils import speech_to_text as stt
 
 os.environ["TOKENIZERS_PARALLELISM"] = "false"
@@ -34,11 +34,6 @@ emotion_pipeline = pipeline(
     model="bhadresh-savani/distilbert-base-uncased-emotion",
     device=device,
 )
-summarization_pipeline = pipeline(
-    "summarization",
-    model="knkarthick/MEETING_SUMMARY",
-    device=device
-)
 
 EXAMPLES = [["Customer_Support_Call.wav"]]