Update app.py

app.py

@@ -12,12 +12,12 @@ from comet_ml import Experiment
 st.set_page_config(layout="wide", page_title="Named Entity Recognition App")
 
 # --- App Header and Info ---
-st.subheader("8-Named Entity Recognition Web App", divider="red")
+st.subheader("Free NER Web App", divider="red")
 st.link_button("DEMO APP by nlpblogs", "https://nlpblogs.com", type="tertiary")
 
-expander = st.expander("**Important notes on the 8-Named Entity Recognition Web App**")
+expander = st.expander("**Important notes on the Free NER Web App**")
 expander.write('''
-        **Named Entities:** This 8-Named Entity Recognition Web App predicts eight (8) labels (“person”, “country”, “city”, “organization”, “date”, “money”, “percent value”, “position”). Results are presented in an easy-to-read table, visualized in an interactive tree map, pie chart, and bar chart, and are available for download along with a Glossary of tags.
+        **Named Entities:** This Free NER Web App predicts eight (8) labels (“person”, “country”, “city”, “organization”, “date”, “money”, “percent value”, “position”). Results are presented in an easy-to-read table, visualized in an interactive tree map, pie chart, and bar chart, and are available for download along with a Glossary of tags.
         
         **How to Use:** Type or paste your text and press Ctrl + Enter. Then, click the 'Results' button to extract and tag entities in your text data.
         
@@ -34,8 +34,8 @@ expander.write('''
 with st.sidebar:
     container = st.container(border=True)
     container.write("**Named Entity Recognition (NER)** is the task of extracting and tagging entities in text data. Entities can be persons, organizations, locations, countries, products, events etc.")
-    st.subheader("Related NLP Web Apps", divider="red")
-    st.link_button("English HTML Entity Finder", "https://nlpblogs.com/shop/named-entity-recognition-ner/english-html-entity-finder/", type="primary")
+    st.subheader("Related NER Web Apps", divider="red")
+    st.link_button("Scandinavian JSON Entity Finder", "https://nlpblogs.com/shop/named-entity-recognition-ner/scandinavian-json-entity-finder/", type="primary")
 
 # --- Comet ML Setup ---
 COMET_API_KEY = os.environ.get("COMET_API_KEY")