Update app.py

app.py

@@ -25,7 +25,7 @@ if text:
     result = nlp(text+' '+nlp.tokenizer.mask_token)
     data_load_state.text('')
     for index, r in enumerate(result):
-        if r['token_str'].lower().strip() in history_keyword_text.lower().strip():
+        if r['token_str'].lower().strip() in history_keyword_text.lower().strip() and len(r['token_str'].lower().strip())>1:
             #found from history, then increase the score of tokens
             result[index]['score']*=HISTORY_WEIGHT