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

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

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

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

# %% app.ipynb 3
learn = load_learner('model.pkl')

# %% app.ipynb 5
categories = ('家系ラーメン', '醤油ラーメン')

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

# %% app.ipynb 7
examples = ['home_ramen.jpg', 'shoyu_ramen.jpg', 'jiro_ramen.jpeg']

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