Update app.py

app.py

@@ -9,7 +9,11 @@ classifier = pipeline("text-classification", model="luisvarona/clasificador-trek
 # Definimos una función que se encarga de llevar a cabo las predicciones
 def predict(str):
     dic_label_score = classifier(str)[0]
-    return dic_label_score
+    label = dic_label_score['label']
+    score = dic_label_score['score']
+    dicc = {'LABEL_0': 'ABBR', 'LABEL_1': 'ENTY', 'LABEL_2': 'DESC', 'LABEL_3': 'HUM', 'LABEL_4': 'LOC', 'LABEL_5': 'NUM'}
+    label = label.map(dicc)
+    return label + ', con score ' + score
     
 # Creamos la interfaz y la lanzamos. 
-gr.Interface(fn=predict, inputs="textbox", outputs="textbox", examples=['How old are you ?','What time is it?']).launch(share=True)
+gr.Interface(fn=predict, inputs="textbox", outputs="textbox", examples=['How old are you?','What time is it?']).launch(share=True)