docs: update demo to compute entities confidence score

Author: LucasDedieu

demo/app.py

@@ -26,6 +26,7 @@ def load_model(use_rule_based=False):
         nlp.add_pipe("eds_pseudo.context")
     else:
         nlp = edsnlp.load("AP-HP/eds-pseudo-public")
+        nlp.pipes.ner.compute_confidence_score = True
     model_load_state.empty()
     return nlp
 
@@ -68,7 +69,8 @@ def apply_model(text, use_rule_based):
             label=ent.label_,
             normalized_value=str(ent._.value or ""),
         )
-
+        if not use_rule_based:
+            d["ner_confidence_score"] = ent._.ner_confidence_score
         data.append(d)
     return data, html
 
@@ -127,7 +129,7 @@ def apply_model(text, use_rule_based):
 if data:
     df = pd.DataFrame.from_records(data)
     df.normalized_value = df.normalized_value.replace({"None": ""})
-    st.dataframe(df)
+    st.dataframe(df, use_container_width=True)
 
 else:
     st.markdown("The model did not match any entity...")