Update app.py

app.py

@@ -248,10 +248,9 @@ 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: #8f8f8f; text-align: left"><i><b>Note:</b> The example sentences in the pull-down above  test biomedical & PHI entities.  To see valid predictions specifically for biomedical entities  <a href='https://huggingface.co/spaces/ajitrajasekharan/self-supervised-ner-biomedical'   target='_blank'>use this app</a>. For PHI entities only (Person,location, Organization) <a href='https://huggingface.co/spaces/ajitrajasekharan/self-supervised-ner-PER-ORG-LOC'   target='_blank'>use this app</a> </i></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) Bert-base-cased (for PHI entities - Person/location/organization etc.)<br/>(3) Flair POS tagger</small>