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

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

# %% ../app.ipynb 1
from fastai.vision.all import *
from gradio.components import Image, Label
import gradio as gr

def is_goat(x): return True

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

# %% ../app.ipynb 6
# categories = ("GOAT", "Not GOAT")
categories = learn.dls.vocab

def classify_img(img):
    pred_class,pred_idx,probs = learn.predict(img)
    return dict(zip(categories, map(float,probs)))

# %% ../app.ipynb 8
image = Image(shape=(192,192))
label = Label()
examples = ["Messi.jpg", "ronaldo.jpg", "hazard.jpg"]

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