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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 | |
# 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 | |
# version error fix: https://forums.fast.ai/t/error-when-pushing-to-hugging-face-spaces/111540 | |
# I also replaced: | |
#image = gr.inputs.Image(shape=(192, 192)) | |
#label = gr.outputs.Label() | |
#with: | |
#image = gr.Image() | |
#label = gr.Label() | |
# without needing to down gradio | |
#image = gr.inputs.Image(shape=(192, 192)) # OLD | |
image = gr.Image(height=192, width=192) | |
# label = gr.outputs.Label() # OLD | |
label = gr.Label() | |
examples = ['basset.jpg'] | |
# Cell | |
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
intf.launch() |