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

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

# %% ../ap.ipynb 1
from fastai.vision.all import *
from huggingface_hub import push_to_hub_fastai, from_pretrained_fastai
import gradio as gr

# %% ../ap.ipynb 3
learner = load_learner('export.pkl')

# %% ../ap.ipynb 5
categories = ('In-phase', 'Invert-Phase', 'Noise')

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

# %% ../ap.ipynb 7
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['IVP1.jpg','IVP2.jpg', 'IP1.jpg', 'IP2.jpg','Noise1.jpg', 'Noise2.jpg']

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