Update app.py

app.py

@@ -45,7 +45,7 @@ def load_ner_model():
     try:
         return pipeline("token-classification",
                         model="saattrupdan/nbailab-base-ner-scandi",
-                        aggregation_strategy="max",
+                        aggregation_strategy="max", ignore_labels=["O"],
                         stride=128)
     except Exception as e:
         st.error(f"Failed to load NER model. Please check your internet connection or model availability: {e}")
@@ -133,9 +133,9 @@ with st.sidebar:
     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="orange")
+    st.subheader("Related NER Web Apps", divider="orange")
     st.link_button("MediDoc Entity Finder",
-                   "https://nlpblogs.com/shop/named-entity-recognition-ner/medidoc-entity-finder/",
+                   " https://nlpblogs.com/shop/named-entity-recognition-ner/medidoc-entity-finder/",
                    type="primary")
 
 
@@ -406,4 +406,3 @@ if st.button("Results"):
     elapsed_time = end_time - start_time
     st.info(f"Results processed in **{elapsed_time:.2f} seconds**.")
 st.write(f"Number of times you requested results: **{st.session_state['file_upload_attempts']}/{max_attempts}**")
-