Update src/streamlit_app.py

src/streamlit_app.py

@@ -75,7 +75,7 @@ st.set_page_config(layout="wide", page_title="Named Entity Recognition App")
 st.subheader("Uncover", divider="red")
 st.link_button("by nlpblogs", "https://nlpblogs.com", type="tertiary")
 expander = st.expander("**Important notes**")
-expander.write("""**Named Entities:** This Uncover predicts twenty-eight (28) labels: "Names", "Aliases", "Identifiers", "Roles", "Government_agencies", "Businesses", "Criminal_groups", "Financial_institutions", "Addresses", "Geographic_coordinates", "Landmarks", "Jurisdictions", "Dates", "Timestamps", "Time_ranges", "Weapons", "Vehicles", "Financial_information", "Evidence", "Relationships", "Demographics", "Biometrics", "Psychological_states", "Software_types", "Hardware_components", "Equipment", "Events", "Activities"
+expander.write("""**Named Entities:** This Uncover web app predicts twenty-eight (28) labels: "Names", "Aliases", "Identifiers", "Roles", "Government_agencies", "Businesses", "Criminal_groups", "Financial_institutions", "Addresses", "Geographic_coordinates", "Landmarks", "Jurisdictions", "Dates", "Timestamps", "Time_ranges", "Weapons", "Vehicles", "Financial_information", "Evidence", "Relationships", "Demographics", "Biometrics", "Psychological_states", "Software_types", "Hardware_components", "Equipment", "Events", "Activities"
 
 Results are presented in easy-to-read tables, visualized in an interactive tree map, pie chart and bar chart, and are available for download along with a Glossary of tags.