Update app.py

app.py

@@ -1,16 +1,12 @@
 import streamlit as st
 from transformers import pipeline
 
-
-
-# txt2Story
 def text_summarize(text):
     pipe = pipeline("summarization", model="human-centered-summarization/financial-summarization-pegasus")
     summary = pipe(text)[0]['summary_text']
     print(summary)
     return summary
 
-# Story2Audio
 def sentiment(summary):
     pipe = pipeline("text-classification", model="WillWEI0103/CustomModel_finance_sentiment_analytics")
     label = pipe(summary)[0]['label']