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

def is_cat(x): return x[0].isupper() 

learn = load_learner('model.pkl')

categories = ('Dog', 'Cat')

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

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']

iface = gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples)
iface.launch()