Update app.py

app.py

@@ -1,10 +1,6 @@
 import streamlit as st
 from transformers import pipeline
 
-def text_summarize(text):
-    pipe = pipeline("summarization", model="nickmuchi/fb-bart-large-finetuned-trade-the-event-finance-summarizer")
-    summary = pipe(text)[0]['summary_text']
-    return summary
 
 def sentiment(summary):
     pipe = pipeline("text-classification", model="WillWEI0103/CustomModel_finance_sentiment_analytics")
@@ -22,7 +18,8 @@ def main():
     
     #Stage 1: Text Summarization
     st.text('Processing Finance News Summarization...')
-    summary = text_summarize(text)
+    text_summarize=pipeline("summarization", model="nickmuchi/fb-bart-large-finetuned-trade-the-event-finance-summarizer")
+    summary = text_summarize(text)[0]['summary_text']
     st.write(summary)
 
     #Stage 2: Sentiment Analytics