app.py

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

learn = load_learner('export.pkl')

categories = learn.dls.vocab

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

image = gr.components.Image(shape=(192, 192))
label = gr.components.Label()
examples = ['mbira_dzavadzimu.jpg', 'mbira_matepe.jpg', 'mbira_nyunga_nyunga.jpg.webp']

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