app.py

import gradio as gr
from fastai.vision.all import *

def is_cat(x):
  return x[0].isupper()
def classifier(img):
    categories = ('Perro','Gato')
    pred,indexs,probs = learner.predict(img)
    return dict(zip(categories,map(float,probs)))

learner = load_learner('cats.pkl')
demo = gr.Interface(fn=classifier, inputs="image", outputs="label")
demo.launch()