# -*- coding: utf-8 -*-
"""Dog Vs Cat.ipynb

Automatically generated by Colab.

Original file is located at
    https://colab.research.google.com/drive/1_3DbuTTvb83jCX-oa6nmg4bMAAyuPNdo
"""

!pip install gradio
!pip install fastbook
!pip install -U duckduckgo_search
!pip install --upgrade duckduckgo-search

"""# Dogs vs Cats"""

from fastbook import *
from fastai.vision.all import *
import gradio as gr

def is_cat(x) : return x[0].isupper

urls = search_images_ddg('dog', max_images=1)
dest = 'images/dogs.jpg'
download_url(dest = dest, url=urls[0], show_progress=False)

urls = search_images_ddg('cat', max_images=1)
dest = 'images/cats.jpg'
download_url(dest = dest, url=urls[0], show_progress=False)

urls = search_images_ddg('animal', max_images=1)
dest = 'images/dunno.jpg'
download_url(dest = dest, url=urls[0], show_progress=False)

im = PILImage.create('images/dogs.jpg')
im.thumbnail((192,192))
im

learn = load_learner('model.pkl')
learn.predict(im)

categories = ('Dog','Cat')

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

classify_images(im)

intf = gr.Interface(
    fn=classify_images,
    inputs=gr.Image(),
    outputs=gr.Label(),
    examples=['images/dogs.jpg', 'images/cats.jpg', 'images/dunno.jpg']
)

intf.launch()