adjust for recent version of pytorch-ie

app.py

@@ -27,12 +27,12 @@ re_pipeline = AutoPipeline.from_pretrained(re_model_name_or_path, device=-1, num
 def predict(text):
     document = ExampleDocument(text)
 
-    ner_pipeline(document, predict_field="entities")
+    ner_pipeline(document)
 
     for entity in document.entities.predictions:
         document.entities.append(entity)
 
-    re_pipeline(document, predict_field="relations")
+    re_pipeline(document)
 
     t = PrettyTable()
     t.field_names = ["head", "tail", "relation"]