# 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
import pathlib
import platform

plt = platform.system()

if plt != "Windows":
    pathlib.WindowsPath = pathlib.PosixPath

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

# %% app.ipynb 5
categories = learn.dls.vocab


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


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

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