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

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

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


# %% learner.ipynb 4
learn = load_learner("model.pkl")

# %% learner.ipynb 6
categories = ("Improved floor", "Unimproved floor")

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

# %% learner.ipynb 7
image = gr.inputs.Image(shape = (192,192))
label = gr.outputs.Label()
examples = ["floors_113.jpg", "floors_184.jpg"]

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