app.py

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

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

# %% ../rabbit_or_hare_app.ipynb 1
from fastai.vision.all import *
import gradio as gr

# %% ../rabbit_or_hare_app.ipynb 2
learn = load_learner('model.pkl')

# %% ../rabbit_or_hare_app.ipynb 3
catagories = ('Hare', 'Rabbit')

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

# %% ../rabbit_or_hare_app.ipynb 4
image = gr.Image()
label = gr.Label()
examples = ['bnuy.jpg', 'sam.jpg', 'aihare.jpg', 'aiwhare.jpg', 'aiwrabbit.jpg']
title = "Rabbit or Hare?"

intf = gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples, title=title)
intf.launch(inline=False, height=250)