app.py

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

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

# %% app.ipynb 2
import fastbook
fastbook.setup_book()

# %% app.ipynb 3
from fastbook import *
from fastai.vision.widgets import *
from fastai.vision.all import *
from urllib.request import urlopen

# %% app.ipynb 5
import gradio as gr

def is_cat(x): return x[0].issuper()

# %% app.ipynb 11
learn = load_learner('model.pkl')

# %% app.ipynb 13
categories = ('Dog', 'Cat')
def classify_image(img):
    pref,idx,probs = learn.predict(img)
    return dict(zip(categories, map(float, probs)))

# %% app.ipynb 16
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['images/4d3b88ed-d0dc-43ec-bbaf-6babf6f310a7.jpg',
            'images/5c283719-addd-4dbf-9847-eda74d0af8e7.jpg']

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