Update app.py

app.py

@@ -219,14 +219,14 @@ def main():
               
  
 
-    #input_text = st.text_area(
-    #  label="Type any sentence",
-   #   on_change=on_text_change,key='my_text'
-   # )
+   st.markdown("""
+    <small style="font-size:16px; color: #7f7f7f; text-align: left"><i> <b>Note:</b>In the example test sentences above, only biomedical entities are tagged for prediction; 
+ PHI entities are not tagged. To see valid predictions for both biomedical and PHI entities  <a href=https://huggingface.co/spaces/ajitrajasekharan/NER-Biomedical-PHI-Ensemble'   target='_blank'>test this ensemble app</a></small>
+  """, unsafe_allow_html=True)
    
     st.markdown("""
     <small style="font-size:16px; color: #7f7f7f; text-align: left"><br/><br/>Models used: <br/>(1) <a href='https://huggingface.co/ajitrajasekharan/biomedical' target='_blank'>Biomedical model</a> pretrained on Pubmed,Clinical trials and BookCorpus subset.<br/>(2) Flair POS tagger</small>
-  #""", unsafe_allow_html=True)
+  """, unsafe_allow_html=True)
     st.markdown("""
     <h3 style="font-size:16px; color: #9f9f9f; text-align: center"><b> <a href='https://huggingface.co/spaces/ajitrajasekharan/Qualitative-pretrained-model-evaluation'   target='_blank'>App link to examine pretrained models</a> used to perform NER without fine tuning</b></h3>
   """, unsafe_allow_html=True)