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

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

# %% ../happ.ipynb 2
from fastai.vision.all import *
import gradio as gr

# %% ../happ.ipynb 4
learn = load_learner('hotdog_hamburger_model.pkl')

# %% ../happ.ipynb 6
categories = ("Hamburger", "Hot Dog")

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

# %% ../happ.ipynb 8
image = gr.components.Image(height=192, width=192)
label = gr.components.Label()
examples = ["hamburger.jpg", "hot_dog.jpg", "hot_dogs_grill.jpeg"]

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