Update app.py

app.py

@@ -11,8 +11,15 @@ 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))}
+    result = learner.predict(text)
+    if len(result) == 3:
+        pred, pred_idx, probs = result
+        return {labels[i]: float(probs[i]) for i in range(len(labels))}
+    elif len(result) == 2:
+        pred, probs = result
+        return {labels[i]: float(probs[i]) for i in range(len(labels))}
+    else:
+        return {"Error": "Unexpected output format from learner"}
 
 # Creamos la interfaz y la lanzamos
 gr.Interface(fn=predict, inputs=gr.inputs.Textbox(lines=2, placeholder="Finantial Sentence"), outputs=gr.outputs.Label(num_top_classes=3), examples=['text1.txt', 'text2.txt']).launch(share=False)