Update app.py

app.py

@@ -214,12 +214,10 @@ 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 only test PHI entities. Biomedical entities are not tested since this model does not perform well on biomedical entities. To see valid predictions for both biomedical and PHI entities  <a href='https://huggingface.co/spaces/ajitrajasekharan/NER-Biomedical-PHI-Ensemble'   target='_blank'>use this ensemble 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) Bert-base-cased (for PHI entities - Person/location/organization etc.)<br/>(2) Flair POS tagger</small>
   #""", unsafe_allow_html=True)