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

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

# %% Untitled.ipynb 1
import numpy as np
import pandas as pd

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

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

# %% Untitled.ipynb 3
from pathlib import Path
import pathlib
temp = pathlib.PosixPath


# %% Untitled.ipynb 4
model = Path('model.pkl')
learn = load_learner(model, cpu=True)

# %% Untitled.ipynb 7
categories = ['dog', 'cat']

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

# %% Untitled.ipynb 9
image = gr.Image()
label = gr.Label()
examples = ['dog.jpg', 'cat.jpg']

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