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

learn = load_learner('export.pkl')

catagories = 'apple','barn owl','guacamole','parrot',

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

image = gr.inputs.Image(shape=(256,256))
label = gr.outputs.Label()
examples = ['apple.png','owl.png','parrot.png','guacamole.png']

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