app.py

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

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

learn = load_learner('dictionary_bears.pkl')

categories = ('black', 'grizzly', 'teddy')
def classify_image(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(categories, map(float, probs))), resources.get(pred)

labels = ['grizzly','black','teddy']
urls = ['https://en.wikipedia.org/wiki/Grizzly_bear','https://en.wikipedia.org/wiki/American_black_bear','https://en.wikipedia.org/wiki/Teddy_bear']
resources = dict(zip(labels, urls))

image=gr.Image(height = 192, width = 192)
label = gr.Label()
text = gr.Textbox()
examples = ['Ronan_Grizzly_Bear_1.jpg','blackbear.jpg',
            'blackbear2.jpg','brownbear.jpg',
           'polar.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=[label,text], examples=examples)
intf.launch(inline=False)