Update app.py

app.py

@@ -5,7 +5,8 @@ import time
 def sentiment(summary):
     pipe = pipeline("text-classification", model="WillWEI0103/CustomModel_finance_sentiment_analytics")
     label = pipe(summary)[0]['label']
-    return label
+    score = pipe(summary)[0]['score']
+    return label,score
 
 
 def main():
@@ -25,10 +26,11 @@ def main():
 
         #Stage 2: Sentiment Analytics
         with st.status("Processing Sentiment Analytics..") as status:
-            label = sentiment(summary)
+            label,score = sentiment(summary)
             label=dicts[label]
             status.update(label="Sentiment Analytics Completed", state="complete", expanded=False)
-        st.text_area('The sentiment of finance news is: ',label)
+        st.text('The Sentiment of Finance News is: ',label)
+        st.text('The Score of Sentiment: ',score)
 
 if __name__ == "__main__":
     main()