app.py

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

learn = load_learner('export.pkl')

labels = learn.dls.vocab
def predict(img):
    img = PILImage.create(img)
    pred,pred_idx,probs = learn.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}

title = "Papu vs. Beckham"
description = "Clasificador de imágenes de Papu Gomez y David Beckham. Son tan parecidos qué tuvimos que crear un clasificador basado en inteligencia artificial para distinguirlos.\n(Created with fastai as a demo for Gradio and HuggingFace Spaces)"
article="<p style='text-align: center'><a href='https://www.ole.com.ar/seleccion/messi-kun-aguero-papu-gomez-beckham-corte-pelo-twitch_0_y5GKfj2QAr.html' target='_blank'>Nota explicativa</a></p>"
examples = ['beckham.jpg', 'papu-gomez.jpeg']
interpretation='default'
enable_queue=True

gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,article=article,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()