log detected entities

app.py

@@ -2,6 +2,7 @@ import re
 import gradio as gr
 from dataclasses import dataclass
 from prettytable import PrettyTable
+import logging
 
 from pytorch_ie.annotations import LabeledSpan, BinaryRelation
 from pytorch_ie.auto import AutoPipeline
@@ -12,6 +13,8 @@ import transformer_re_text_classification2
 
 from typing import List
 
+logger = logging.getLogger(__name__)
+
 
 @dataclass
 class ExampleDocument(TextDocument):
@@ -44,6 +47,9 @@ def predict(text):
                                  score=entity.score)
         if entity.label in re_pipeline.taskmodule.entity_labels:
             document.entities.append(entity)
+            logger.warning(f"detected entity: {entity} (added)")
+        else:
+            logger.warning(f"detected entity: {entity} (NOT added)")
 
     re_pipeline(document)