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

def classify_image(img):
    pred,idx,probs = learn.predict(img)
    return dict(zip(categories, map(float,probs)))

learn = load_learner('modelo.pkl')
categories = ('Akhal-Teke', 'Appaloosa', 'Arabian', 'Friesian')

image = gr.Image(shape=(192,192))
label = gr.Label()
examples = ['img/akhal.png', 'img/appal.png', 'img/arab.png', 'img/fries.png']

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)