Update app.py

app.py

@@ -46,8 +46,8 @@ 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 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")
+    st.subheader("NER File Builder", divider="red")
+    st.link_button("Build your own NER Web App in a minute without writing a single line of code.", "https://nlpblogs.com/shop/named-entity-recognition-ner/ner-file-builder/", type="primary")
 
 # --- Comet ML Setup ---
 COMET_API_KEY = os.environ.get("COMET_API_KEY")
@@ -64,7 +64,7 @@ else:
 @st.cache_resource
 def load_gliner_model():
     """Caches the GLiNER model to prevent re-loading on every app rerun."""
-    return GLiNER.from_pretrained("xomad/gliner-model-merge-large-v1.0")
+    return GLiNER.from_pretrained("knowledgator/gliner-multitask-large-v0.5")
 
 # Load the model using the cached function
 model = load_gliner_model()