app.py

# AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.

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

# %% ../app.ipynb 1
from fastai.vision.all import *
import gradio as gr

# %% ../app.ipynb 3
# Copied from https://n90l9ahmyv.clg07azjl.paperspacegradient.com/lab/tree/bear_multicat.ipynb

# from parent_label
def get_y(o):
    parent_name = Path(o).parent.name
    if parent_name in bear_types:
        return [parent_name]
    return []

# %% ../app.ipynb 4
learn = load_learner('bear_multicat.pkl') #'export.pkl')

# %% ../app.ipynb 6
categories = ('black', 'grizzly', 'teddy')

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

# %% ../app.ipynb 8
image = gr.Image(width=192, height=192)
label = gr.Label()
examples = ['images/grizzly.jpg', 'images/black.jpg', 'images/teddy.jpg',
            'images/grizzly_black.jpg',
            'images/text.png', 'images/einstein.png', 'images/dunno.jpg']

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)