app.py

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

#load the model
learn = load_learner('nothotdog.pkl')


#define the classifier function
categories = ('HotDog', 'Not HotDog')

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


#Gradio interface

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['1.jpg','2.jpg','3.png','4.jpg']

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