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

learn = load_learner('model.pkl')

categories = ('Common crested nuthatch', 'Great Spotted Woodpecker', 'Masked wagtail', 'Sparrow', 'Squirrel', 'Tit')

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

image = gr.Image()
label = gr.Label()
examples = ['tint.jpeg', 'Common crested nuthatch.jpeg', 'Great Spotted Woodpecker.jpeg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch()