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# AUTOGENERATED! DO NOT EDIT! File to edit: notebook.ipynb.
# %% auto 0
__all__ = ['learn', 'categories', 'image', 'label', 'intf', 'classify_image']
# %% notebook.ipynb 2
from fastai.vision.all import *
import gradio as gr
import timm
# %% notebook.ipynb 3
learn = load_learner('cycle-model.pkl')
# %% notebook.ipynb 4
categories = learn.dls.vocab
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
# %% notebook.ipynb 6
image = gr.Image()
label = gr.Label()
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch()
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