#|export

#from fastcore.all import *
from fastai.vision.all import *
from fastbook import load_learner
import gradio as gr

inf = load_learner('LeopardCheetah.pkl')

categories = ('Cheetah','Images','Leopard')

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

    #|export

#This creates the gradio interface

image = gr.Image(shape=(192,192))
label = gr.outputs.Label()

examples = ['cheetah.jpg','leopard.jpg','img.jpg']

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

intf.launch(inline=False)