all = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
from fastai.vision.all import *
import gradio as gr
learn = load_learner('export.pkl')
categories = ('black', 'grizzly', 'teddy')
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
image=gr.Image(height = 192, width = 192)
label = gr.Label()
examples = ['Ronan_Grizzly_Bear_1.jpg','blackbear.jpg',
'blackbear2.jpg','brownbear.jpg',
'polar.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)
