Update app.py

app.py

@@ -3,10 +3,8 @@ import gradio as gr
 from fastai.vision.all import *
 
 
-repo_id = "sacamiso/entregable3"
-
-learner = from_pretrained_fastai(repo_id)
-labels = learner.dls.vocab
+learner = load_learner("modelo")
+labels = []
 
 # Definimos una función que se encarga de llevar a cabo las predicciones
 def predict(img):
@@ -15,4 +13,4 @@ def predict(img):
     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.Image(shape=(128, 128)), outputs=gr.outputs.Label(num_top_classes=3),examples=['']).launch(share=False)
+gr.Interface(fn=predict, inputs=gr.inputs.Text(), outputs=gr.outputs.Label(num_top_classes=3),examples=['']).launch(share=False)