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# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb. | |
# %% auto 0 | |
__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image'] | |
# %% app.ipynb 1 | |
from fastai.vision.all import * | |
import gradio as gr | |
# %% app.ipynb 3 | |
learn = load_learner('model.pkl') | |
# %% app.ipynb 5 | |
categories = [cat.capitalize() for cat in learn.dls.vocab] | |
def classify_image(img): | |
pred, idx, probs = learn.predict(img) | |
return dict(zip(categories, map(float,probs))) | |
# %% app.ipynb 7 | |
image = gr.Image() | |
label = gr.Label() | |
examples = ['examples/badland.jpg', 'examples/horizon.jpg', 'examples/unforgiven.jpg', 'examples/terminator.jpg', 'examples/interstellar.jpg', 'examples/cowboys_aliens.jpg', 'examples/mad-max.jpg'] | |
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
intf.launch(inline=False) | |