Update app.py

app.py

@@ -120,7 +120,7 @@ def main():
   
   st.markdown("<h3 style='text-align: center;'>Compare pretrained BERT models qualitatively</h3>", unsafe_allow_html=True)
   st.markdown("""
-        <small style="font-size:20px; color: #2f2f2f"><br/>Why compare pretrained models <b>before fine-tuning</b>?</small><br/><small style="font-size:16px; color: #7f7f7f">Pretrained BERT models can be used as is, <a href="https://huggingface.co/spaces/ajitrajasekharan/self-supervised-ner"><b>with no fine tuning to perform tasks like NER.</b><br/></a>This can be done ideally by using both fill-mask and CLS predictions, or just using fill-mask predictions if CLS predictions are poor</small>
+        <small style="font-size:20px; color: #2f2f2f"><br/>Why compare pretrained models <b>before fine-tuning</b>?</small><br/><small style="font-size:16px; color: #7f7f7f">Pretrained BERT models can be used as is, <a href="https://huggingface.co/spaces/ajitrajasekharan/self-supervised-ner" target='_blank'><b>with no fine tuning to perform tasks like NER.</b><br/></a>This can be done ideally by using both fill-mask and CLS predictions, or just using fill-mask predictions if CLS predictions are poor</small>
         """, unsafe_allow_html=True)
 
   st.write("This app can be used to examine both fill-mask predictions as well as the neighborhood of CLS vector")
@@ -167,7 +167,7 @@ def main():
     st.stop()  
 	
   st.markdown("""
-        <small style="font-size:16px; color: #7f7f7f" text-align: center>Link to post <a href="https://ajitrajasekharan.github.io/2021/01/02/my-first-post.html">describing this approach</a></small>
+        <small style="font-size:16px; color: #7f7f7f"; text-align: center>Link to post <a href="https://ajitrajasekharan.github.io/2021/01/02/my-first-post.html">describing this approach</a></small>
         """, unsafe_allow_html=True)