app.py

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

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

# %% ../app.ipynb 5
import pathlib
from fastai.vision.all import *
import gradio as gr


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


learn = load_learner('model_dog-vs-cat')


# %% ../app.ipynb 7
categories = ('Dog', 'Cat')


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


# %% ../app.ipynb 8
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['dog (4).jpg', 'cat (2).jpg', 'dogcat2.jpeg']
title = "Katt eller Hund"

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