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# %% auto 0
__all__ = ['learner', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
# %% model-pkl-run.ipynb 2
#from fastai import *
from fastai.vision.all import *
import gradio as gr
# %% model-pkl-run.ipynb 4
def is_cat(x): return x[0].isupper()
learner = load_learner('model.pkl')
# %% model-pkl-run.ipynb 6
categories = ('dog', 'cat')
def classify_image(img):
pred, idx, probs = learner.predict(img)
return dict(zip(categories, map(float, probs)))
# %% model-pkl-run.ipynb 8
image = gr.Image(width=192, height=192)
label = gr.Label()
examples = ['dog.png', 'cat.png', 'dunno.png']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False, share=True)
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