app.py

# AUTOGENERATED! DO NOT EDIT! File to edit: ..\lesson2-app.ipynb.

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

# %% ..\lesson2-app.ipynb 2
from fastai.vision.all import * 
import gradio as gr

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

# %% ..\lesson2-app.ipynb 4
learn = load_learner('model.pkl')
# import pathlib
# posix_backup = pathlib.PosixPath
# try:
#     pathlib.PosixPath = pathlib.WindowsPath
#     learn = load_learner('model.pkl')
# finally:
#     pathlib.PosixPath = posix_backup

# %% ..\lesson2-app.ipynb 6
categories = ('Dog','Cat')
def classify_image(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(categories, map(float, probs)))

# %% ..\lesson2-app.ipynb 8
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)