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

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

#im = PLImage.create('dog.jpg')
#im.thumbnail((192,192))



#learn.predict(im)

#def greet(name):
#    return "Hello " + name + "!!"

#iface = gr.Interface(fn=greet, inputs="text", outputs="text")
#iface.launch()

learn = load_learner('export.pkl')

Categories = ('Dog', 'Cat')
def classify_image(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(Categories, map(float, probs)))
    

image = gr.Image()
label = gr.Label()
examples = ['dog.jpg', 'cat.jpg','dunno.jpg']

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