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# AUTOGENERATED! DO NOT EDIT! File to edit: . (unless otherwise specified).
__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
# Cell
from fastai.vision.all import *
import gradio as gr
import timm
from timm.layers import convert_splitbn_model, convert_sync_batchnorm, set_fast_norm
# Cell
learn = load_learner('model.pkl')
# Cell
categories = learn.dls.vocab
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
# Cell
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['basset.jpg']
# Cell
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch() |