Update app.py

app.py

@@ -6,8 +6,7 @@ import gradio as gr
 learn = load_learner('export.pkl')
 
 # Definimos las etiquetas de nuestro modelo
-labels = learn.dls.vocab
-
+labels = ["anger", "joy", "optimism", "sadness"]
 
 # Definimos una función que se encarga de llevar a cabo las predicciones
 def predict(txt):
@@ -15,5 +14,5 @@ def predict(txt):
     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.Text, outputs=gr.outputs.Label(num_top_classes=4))
- 
+gr.Interface(fn=predict, inputs="text", outputs=gr.outputs.Label(),examples=["@user but your pussy was weak from what I heard so stfu up to me bitch . You got to threaten him that your pregnant .\n", "Worry is a down payment on a problem you may never have.  Joyce Meyer. #motivation #leadership #worry\n", "My roommate: it's okay that we can't spell because we have autocorrect. #terrible #firstworldprobs\n", "it's pretty depressing when u hit pan on ur favourite highlighter\n", "Tiller and breezy should do a collab album. Rapping and singing prolly be fire\n"]).launch(share=False)
+