Update app.py

app.py

@@ -6,12 +6,10 @@ from fastai.vision.all import *
 repo_id = "mapecim/ClasificadorTexto"
 
 learner = from_pretrained_fastai(repo_id)
-labels = learner.dls.vocab
 
 # Definimos una función que se encarga de llevar a cabo las predicciones
 def predict(text):
-    pred,pred_idx,probs = learner.predict(text)
-    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+    return learner.predict(text)
     
 # Creamos la interfaz y la lanzamos. 
-gr.Interface(fn=predict, inputs="text", outputs=gr.Label.output(5), examples=["I loved that movie", "I hated that movie"]).launch()
+gr.Interface(fn=predict, inputs="text", outputs="label", examples=["I loved that movie", "I hated that movie"]).launch()