app.py

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


def is_pizza(x): return x[0].isupper()
learn = load_learner('model.pkl')


def classify_image(img):
    pred,idx,probs = learn.predict(img)
    if pred =='burgur': pred = 'Burger'
    return pred
    
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['pizza.jpg','pizza1.jpg','burger.jpg','burger1.jpg']

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