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

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

learn = load_learner ('model.pkl')

categories = ('dog','cat')


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

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['dog.jpg','cat.jpg','dunno.jpg']

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