app.py

__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'demo']

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

examples = ['images/cloud1.jpg', 'images/cloud2.jpg', 'images/cloud3.jpg', 'images/cloud4.jpg', 'images/cloud5.jpg', 'images/cloud6.jpg', 'images/cloud7.jpg', 'images/cloud8.jpg', 'images/cloud9.jpg', 'images/cloud10.jpg', 'images/cloud15.jpg']

categories = ('Cirrus', 'Stratus')

learn = load_learner('model.pkl')

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

image = gr.Image()
label = gr.Label()

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