Update app.py

app.py

@@ -16,7 +16,7 @@ class ExampleDocument(TextDocument):
 
 model_name_or_path = "leonhardhennig/copious_ner"
 
-ner_pipeline = AutoPipeline.from_pretrained(model_name_or_path, device=-1, num_workers=0, model_kwargs={"truncation": True}, taskmodule_kwargs={"include_ill_formed_predictions": False})
+ner_pipeline = AutoPipeline.from_pretrained(model_name_or_path, device=-1, num_workers=0, taskmodule_kwargs={"include_ill_formed_predictions": False})
 
 
 def predict(text):