Update app.py

app.py

@@ -90,7 +90,7 @@ def run_test(sent,top_k,model_name):
 
 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> ideally if both fill-mask and CLS predictions are good, or minimally if fill-mask predictions are adequate</small>
+        <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>
         """, unsafe_allow_html=True)
   #st.write("https://ajitrajasekharan.github.io/2021/01/02/my-first-post.html")
 st.write("This app can be used to examine both model prediction for a masked  position as well as the neighborhood of CLS vector")