Update app.py

app.py

@@ -10,10 +10,13 @@ repo_id = "mabakaik/clasificadorTexto"
 learner = from_pretrained_fastai(repo_id)
 labels = learner.dls.vocab
 
+if isinstance(labels, list) and all(isinstance(label, list) for label in labels):
+    labels = [item for sublist in labels for item in sublist]
+
 # 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 {str(labels[i]): float(probs[i]) for i in range(len(labels))}
     
 # Creamos la interfaz y la lanzamos. 
 gr.Interface(fn=predict, inputs=gr.inputs.Textbox(lines=5, placeholder="Introduce tu texto aquí..."),