Update app.py

app.py

@@ -123,6 +123,9 @@ def init_selectbox():
 
 def main():
   global top_k 
+  global bert_tokenizer
+  global bert_model
+  
   st.markdown("<h3 style='text-align: center;'>Qualitative evaluation of  any pretrained BERT model</h3>", unsafe_allow_html=True)
   st.markdown("""
         <small style="font-size:18px; color: #7f7f7f">Pretrained BERT models can be used as is, <a href="https://ajitrajasekharan.github.io/2021/01/02/my-first-post.html"><b>with no fine tuning to perform tasks like NER</b></a> <i>ideally if both fill-mask and CLS predictions are good, or minimally if fill-mask predictions are adequate</i></small>