Update app.py

app.py

@@ -11,21 +11,25 @@ import gradio as gr
 
 # Cargamos el learner
 
-learner = from_pretrained_fastai('osrojo/learnClass')
+learner = from_pretrained_fastai('osrojo/Emotion')
 
 
 # Definimos las etiquetas de nuestro modelo
 
-labels = ['0','1','2','3']
+labels = ['0','1','2','3','4','5']
 
 
-example1 = 'shaft abrasions from panties merely shifted to the side'
+example1 = "would like to take the opportunity to describe one day this week when i was feeling particularly gloomy"
 
-example2 = "I'm changing the snowman's into awful looking monsters at night. Its so funny when their owners encounter them and scream!"
+example2 = "i believe that feeling accepted in a non judgemental way can be healing"
 
-example3 = "Don't be afraid of your fears. Their purpose is not to frighten you, but enlighten you and lead you into a better future."
+example3 = "im feeling somewhat nostalgic about the game just from the fact that its star wars"
 
-example4 = "I've finished reading it; simply mind-blogging. The writer said 'to be continued' but I haven't found part 2."
+example4 = "i am most certainly an acquired taste but lately many of those around me have seemed to feel the taste to be bitter"
+
+example5 = "i feel shy about it all and also a little concerned whether my new title will distance me away from people i care for"
+
+example6 = "i feel like they bring the characters to life completely and i m always kind of surprised what the actors do do together"
 
 # Definimos una función que se encarga de llevar a cabo las predicciones
 
@@ -36,4 +40,4 @@ def predict(text):
 
 # Creamos la interfaz y la lanzamos. 
 
-gr.Interface(fn=predict, inputs=gr.Textbox(), outputs=gr.Label(),examples=[example1,example2,example3,example4]).launch(share=False)
+gr.Interface(fn=predict, inputs=gr.Textbox(), outputs=gr.Label(),examples=[example1,example2,example3,example4,example5,emample6]).launch(share=False)