app.py

# AUTOGENERATED! DO NOT EDIT! File to edit: 02_production_gradio.ipynb.

# %% auto 0
__all__ = ['path', 'learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']

# %% 02_production_gradio.ipynb 0
from fastai.vision.all import *
import gradio as gr

path = Path('bears')
learn = load_learner('export.pkl')

# %% 02_production_gradio.ipynb 1
categories = learn.dls.vocab


# %% 02_production_gradio.ipynb 2
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = [path/'test_teddy.jpg', path/'test_grizzly.jpg']

def classify_image(image):
    pred,idx,probs = learn.predict(image)
    return dict(zip(categories, map(float, probs)))

classify_image(examples[0])

# %% 02_production_gradio.ipynb 3
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)