Update app.py

app.py

@@ -90,7 +90,7 @@ if st.session_state['upload_count'] < max_attempts:
                 result = pd.concat(frames)
                 st.dataframe(result)
                 model = GLiNER.from_pretrained("urchade/gliner_base")
-                labels = ["person", "country", "city", "organization", "date", "money", "percent value", "position"]
+                labels = ["person", "country","organization", "date", "time", "role", "skills", "year"]
                 entities = model.predict_entities(text_data, labels)
                 df = pd.DataFrame(entities)
                 st.dataframe(entities)