Update app.py

app.py

@@ -1,6 +1,10 @@
 import streamlit as st
 from transformers import pipeline
-
+def text_summarize(text):
+    st.text('Processing Finance News Summarization...')
+    pipe=pipeline("summarization", model="nickmuchi/fb-bart-large-finetuned-trade-the-event-finance-summarizer")
+    summary = text_summarize(text)[0]['summary_text']
+    return summary
 
 def sentiment(summary):
     pipe = pipeline("text-classification", model="WillWEI0103/CustomModel_finance_sentiment_analytics")
@@ -18,9 +22,7 @@ def main():
         st.write(str(text))
     
         #Stage 1: Text Summarization
-        st.text('Processing Finance News Summarization...')
-        text_summarize=pipeline("summarization", model="nickmuchi/fb-bart-large-finetuned-trade-the-event-finance-summarizer")
-        summary = text_summarize(text)[0]['summary_text']
+        summary=text_summarize(text)
         st.write(summary)
 
         #Stage 2: Sentiment Analytics