Update app.py

app.py

@@ -7,13 +7,13 @@ from fastai.text.all import *
 repo_id = "inigo99/rotten_tomatoes-classification"
 
 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):
-    #img = PILImage.create(img)
-    pred = learner.predict(text)
-    return pred
+    pred, pred_idx,probs = learner.predict(text)
+    return {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(), outputs="text").launch(share=False)
+gr.Interface(fn=predict, inputs=gr.inputs.Textbox(), outputs=gr.outputs.Label(num_top_classes=2)).launch(share=False)