app.py

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

learn = load_learner('model.pkl')

# Cell
categories = learn.dls.vocab

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

# Cell
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['burrito.jpg', 'taco.jpg']

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