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

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

learn = load_learner('model.pkl')

categories = ('husky', 'pitbull', 'toy poodle')

def classify_image(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', 'husky.jpg', 'pitbull.jpg']

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