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

learn = load_learner('model.pkl')
categories = ('Cat', 'Dog')

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

inp_img = gr.inputs.Image(shape=(512, 512))
out_label = gr.outputs.Label(),

iface = gr.Interface(fn=classify_image,
                     inputs=inp_img,
                     outputs=out_label,
                     examples=examples,
                     title="Pet classifier")

iface.launch(inline=False)