app.py

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

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

# %% app.ipynb 1
from fastai.vision.all import *
import gradio as gr

# %% app.ipynb 5
learn = load_learner('model.pkl')

# %% app.ipynb 7
categories = ('Gym Ryan', 'Jim Ryan')

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

# %% app.ipynb 9
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['images/jim1.jpg',
            'images/gym1.jpg',
            'images/jim2.jpg',
            'images/gym2.jpg',
            'images/jim3.jpg',
            'images/gym3.jpg',
            'images/jim4.jpg',
            'images/gym4.jpg']

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