app.py

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

learn = load_learner('model.pkl')
categories = ('chickenpox', 'cowpox', 'healthy', 'measles', 'monkeypox', 'smallpox')

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

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['ch_0001.jpg', 'co_0001.jpg', 'he_0001.jpg', 'mo_0001.jpg', 'sm_0001.jpg']

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