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# AUTOGENERATED! DO NOT EDIT! File to edit: gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb.
# %% auto 0
__all__ = ['learn_inf', 'lbl_pred', 'image', 'label', 'examples', 'intf', 'btn_upload', 'classify_image', 'on_click_classify']
# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 25
from fastai.vision.all import *
import gradio as gr
# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 27
learn_inf = load_learner('bears/export.pkl')
# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 33
lbl_pred = learn_inf.dls.vocab
def classify_image(img):
img = img.to_thumb(128,128)
pred,pred_idx,probs = learn_inf.predict(img)
return dict(zip(lbl_pred, map(float, probs)))
# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 34
image = gr.Image(type="pil")
label = gr.Label()
examples = ['images/black.jpg', 'images/grizzly.jpg', 'images/teddy.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False, debug=True)
# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 35
def on_click_classify(change):
img = PILImage.create(btn_upload.data[-1])
out_pl.clear_output()
with out_pl: display(img.to_thumb(128,128))
pred,pred_idx,probs = learn_inf.predict(img)
lbl_pred.value = f'Prediction: {pred}; Probability: {probs[pred_idx]:.04f}'
btn_run.on_click(on_click_classify)
# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 36
btn_upload = widgets.FileUpload()
# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 37
VBox([widgets.Label('Select your bear!'),
btn_upload, btn_run, out_pl, lbl_pred])
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