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

learn = load_learner('model.pkl')

categories = ('Akita', 'Bull terrier', 'Bulldog', 'Pit Bull', 'Welsh Sheepdog')

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()

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