app.py

from fastbook import *
from fastai.vision.widgets import *
import gradio as gr

# because paths don't work on hugging face without this    
import pathlib
plt = platform.system()
if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath

p = pathlib.Path('./p/model.pkl')
learn = load_learner(p)

categories = ('Cat', 'Dog')

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 = ['cat.jpg', 'dog.jpg']

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