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

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

# %% BearClassifierGradio.ipynb 3
# importing dependencies
from fastai.vision.all import *
import gradio as gr

# %% BearClassifierGradio.ipynb 4
# creating inference
learn = load_learner('model.pkl')

# %% BearClassifierGradio.ipynb 5
categories = ('Black', 'Grizzly', 'Teddy')

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

# %% BearClassifierGradio.ipynb 6
# gradio interface Setup
image = gr.Image()
label = gr.Label()
examples = ['sample1.jpg', 'sample2.jpg', 'sample3.jpg']

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