app.py

from fastai.vision.all import *
import gradio as gr
import pathlib
plt = platform.system()

if plt != 'Windows': pathlib.WindowsPath = pathlib.PosixPath

learn = load_learner('export.pkl')

def prediction(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(('burrito', 'taco'), map(float, probs)))


image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples= ['taco', 'burrito.jpg']

intf =gr.Interface(fn=prediction, inputs=image, outputs=label, examples=examples)
intf.launch()