Update app.py

app.py

@@ -1,4 +1,3 @@
-
 import streamlit as st
 
 from transformers import pipeline
@@ -22,7 +21,7 @@ if text:
     data_load_state = st.text('Inference to model...')
     result = nlp(text+' '+nlp.tokenizer.mask_token)
     data_load_state.text('')
-    for r in result:
+    for index, r in enumerate(result):
         if r['sequence'].lower().strip() in history_keyword_text.lower().strip():
-            r['score']*=100
+            result[index]['score']*=0.10
     st.table(result)