app.py

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

learn = load_learner('model.pkl')

categories = [cat.capitalize() for cat in learn.dls.vocab]

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

image = gr.Image()
label = gr.Label()

examples = ['fresh.jpg', 'rotten.jpg']

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