import gradio as gr
from fastai.vision.all import *
import skimage
def is_cat(x): return x[0].isupper()

learn = load_learner('model.pkl')

categories = ('Dog', 'Cat')

def classify_image(img):
        pred,idx,probs = learn.predict(img)
        return dict(zip(categories, map(float,probs)))
image = gr.Image(height=192, width=192)
label = gr.Label()
examples:list = ['dog.png', 'cat.png', 'dunno.png']

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