app.py

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

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

# %% ../app.ipynb 3
from fastai.vision.all import *
import gradio as gr

# %% ../app.ipynb 4
def is_cat(x): return x[0].isupper()

# %% ../app.ipynb 7
path = './'
learn = load_learner(path+'pets.pkl')

# %% ../app.ipynb 9
categories = ('Dog', 'Cat')

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

# %% ../app.ipynb 11
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = [path+'images/dog.jpg', path+'images/cat.jpg', path+'images/dunno.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)