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

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

learn = load_learner ('model.pkl')

categories = ('Bardock', 'Goku', 'Goku Black', 'Goku Jr.', 'Goten', 'Turles')
def classify_image (img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(categories, map(float,probs)))

image=gr.Image(type="pil")
label=gr.Label(num_top_classes=6)
examples =['Goku.jpg', 'Goku Black.jpg', 'Turles.jpg', 'Bardock.jpg', 'Goku Jr..jpg', 'Goten.jpg']
title = "Goku Lookalikes Classifier"
intf = gr.Interface(fn=classify_image,inputs=image, outputs=label, examples=examples,title=title)
intf.launch(inline=False)