Update app.py

app.py

@@ -22,13 +22,13 @@ def ner_tagging(text):
 
   return output
 
-def get_entities(text):
+def get_entities(example):
     model_name = "hackathon-pln-es/jurisbert-finetuning-ner"
     tokenizer = AutoTokenizer.from_pretrained(model_name,       add_prefix_space=True)
   
     model = AutoModelForTokenClassification.from_pretrained(model_name)
     token_classifier = pipeline("token-classification", aggregation_strategy="simple", model=model, tokenizer=tokenizer)
-    results = token_classifier(text.lower())
+    results = token_classifier(example.lower())
     
     output = []