app/app.py

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

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

# %% ../app.ipynb 1
# creating a python image library from the image
from fastai.vision.all import *
import gradio as gr

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

# %% ../app.ipynb 3
import pathlib
plt = platform.system()
if plt == 'Windows': pathlib.PosixPath = pathlib.WindowsPath

learn = load_learner('model.pkl')

# %% ../app.ipynb 5
categories = ('Dog', 'Cat')

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

# %% ../app.ipynb 7
image = gr.Image(height=192,width=192)
label = gr.Label()
examples = ['dog.jpeg', 'cat.jpeg', 'dunno.jpeg']

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