# AUTOGENERATED! DO NOT EDIT! File to edit: ../02_exp_app.ipynb.

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

# %% ../02_exp_app.ipynb 1
from fastai.vision.all import *
import gradio as gr
#123
def is_sea(x) : return x[0].isupper()

# %% ../02_exp_app.ipynb 3
learn = load_learner('model.pkl')

# %% ../02_exp_app.ipynb 5
categories = ('River', "Sea", "Stuffed")

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

# %% ../02_exp_app.ipynb 7
image = gr.inputs.Image(shape = (192,192))
label = gr.outputs.Label()
examples = ['seaotter.jpg' , 'riverotter.jpg' , 'stuffedotter.jpg']

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