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

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

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

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

# %% ../app.ipynb 4
# import pathlib
# temp = pathlib.PosixPath
# pathlib.PosixPath = pathlib.WindowsPath
# from pathlib import Path

learn = load_learner('model1.pkl')


# %% ../app.ipynb 6
categories = ('bradycardia','tachycardia')

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

# %% ../app.ipynb 8
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['bradycardia-ECG.jpg']

iface = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples = examples)
iface.launch()