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 = pipeline("ner", model="xomad/gliner-model-merge-large-v1.0", aggregation_strategy="simple")
+            model = GLiNER.from_pretrained("urchade/gliner_base")
             labels = ["person", "country", "city", "organization", "date", "money", "percent value", "position"]
             entities = model(text_data, labels=labels)
             df_entities = pd.DataFrame(entities)