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import fastbook
fastbook.setup_book()
from PIL import Image
import requests
import gradio as gr
from fastbook import *
from fastai.vision.widgets import *
path = Path()
path.ls(file_exts='.pkl')
learn_inf = load_learner(path/'export.pkl')
categories = ('grizzly', 'black', 'teddy')
def classify_image(img):
pred,idx,probs = learn_inf.predict(img)
return dict(zip(categories, map(float,probs)))
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
#examples = ['bear.jpg']
intf = gr.Interface(fn = classify_image, inputs=image, outputs=label)
intf.launch(inline=False) |