Update app.py

app.py

@@ -10,13 +10,12 @@ learner = from_pretrained_fastai(repo_id)
 # Definimos una función que se encarga de llevar a cabo las predicciones
 def predict(text):
     pred,pred_idx,probs = learner.predict(text)
-    if (pred == "0") {
+    if (pred == "0"):
         return "Negative"
-    } elif (pred == "1") {
+    elif (pred == "1"):
         return "Positive"
-    } else {
+    else:
         return "Error"
-    }
     
 # Creamos la interfaz y la lanzamos. 
 gr.Interface(fn=predict, inputs="text", outputs="label", examples=["I loved that movie", "I hated that movie"]).launch()