Update app.py

app.py

@@ -2,14 +2,17 @@ from fastai.text.all import *
 import gradio as gr
 
 # Cargamos el learner
-learn = load_learner('export.pkl')
+
+repo_id = "macapa/emotion-text-classification"
+learner = from_pretrained_fastai(repo_id)
 
 # Definimos la función que realiza las predicciones
 def predict(text):
-    pred = learn.predict(text)
+    pred = learner.predict(text)
     return pred
     
 texto1 = 'i can go from feeling so hopeless to so damned hopeful just from being around someone who cares and is awake'
 texto2 = 'im grabbing a minute to post i feel greedy wrong'
+
 # Creamos la interfaz y la lanzamos. 
-gr.Interface(fn=predict, inputs="text", outputs="text",examples=[texto1,texto2]).launch(share=False)
+gr.Interface(fn=predict, inputs="text", outputs="text", examples=[texto1,texto2]).launch(share=False)