app.py

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


# def greet(name):
#     return "Hello " + name + "!!"

learn = load_learner('pizza_model.pkl')

categories = ('not_pizza', 'pizza')

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

image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['pizza_image.jpeg', 'spagetti.jpeg']

iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
iface.launch()