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

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

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

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

learn = load_learner('export.pkl')
categories = ('Jeans', 'Sofa', 'Tshirt', 'Tv')

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

# Create an Image component with the desired size
image = gr.Image(image_mode="file", size=(192, 192))

label = gr.Label()
examples = ['jeans.jpeg', 'sofa.jpeg', 'tshirt.jpg', 'tv.jpeg']

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