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# AUTOGENERATED! DO NOT EDIT! File to edit: ../nbs/app.ipynb. | |
# %% auto 0 | |
__all__ = ['learn', 'image', 'lable', 'examples', 'intf', 'classify_image'] | |
# %% ../nbs/app.ipynb 1 | |
from fastai.vision.all import * | |
import gradio as gr | |
# %% ../nbs/app.ipynb 3 | |
learn = load_learner('export.pkl') | |
# %% ../nbs/app.ipynb 7 | |
def classify_image(img): | |
pred,pred_idx,probs = learn.predict(img) | |
return dict(zip(learn.dls.vocab, map(float, probs))) | |
# %% ../nbs/app.ipynb 10 | |
#image = gr.inputs.Image(shape=(192,192)) | |
image = gr.components.Image(shape=(192,192)) | |
#lable = gr.outputs.Label() | |
lable = gr.components.Label() | |
examples = ['teddybear.jpg', 'grizzly.jpg', 'blackbear.jpg'] | |
intf = gr.Interface(fn=classify_image, inputs=image, outputs=lable, examples=examples) | |
intf.launch(inline=False) | |