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import gradio as gr
import fastbook
fastbook.setup_book()
from fastbook import *
from fastai.vision.widgets import *
learn = load_learner('bear_model.pkl')
categories = ("black", "grizzly", "teddy")
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
demo = gr.Interface(fn=classify_image, inputs="image", outputs="label")
demo.launch() |