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

learn = load_learner('model.pkl')

labels = learn.dls.vocab
def predict(img):
    img = PILImage.create(img)
    pred,pred_idx,probs = learn.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels)) }


gr.Interface(
    fn=predict, 
    inputs=gr.Image(width=512, height=512),
    outputs=gr.Label(num_top_classes=3),
    title="Boatshoe or not",
    description="Is what you have boatshoes or not?",
    examples=['boat_shoe_test.jpg', 'other_shoe_test.jpg'],
).launch(share=True)