Update app.py

app.py

@@ -1,16 +1,10 @@
 import os
-#import re
-#import functools
-from functools import partial
-
-#import requests
-#import pandas as pd
-
 import torch
 import gradio as gr
 from transformers import pipeline, Wav2Vec2ProcessorWithLM
 from pyannote.audio import Pipeline
 import whisperx
+from functools import partial
 
 from utils import split 
 from utils import speech_to_text as stt
@@ -35,7 +29,7 @@ speech_to_text = partial(
     whisper_device=whisper_device
     )
 
-# Text components
+# Get Transformer Models
 emotion_pipeline = pipeline(
     "text-classification",
     model="bhadresh-savani/distilbert-base-uncased-emotion",
@@ -45,6 +39,7 @@ summarization_pipeline = pipeline(
     model="knkarthick/MEETING_SUMMARY",
 )
 
+# Apply models to transcripts
 def summarize(diarized, summarization_pipeline):
     text = ""
     for d in diarized: