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

learn = load_learner('export.pkl')
categories= ('Doughnut', 'Medu Vada')

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

image = gr.Image(height=256, width=256)
label = gr.Label()
examples = ['doughnut.jpg', 'vada.jpg']

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