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

learn = load_learner('peaky.pkl')

categories = ('Thomas Shelby','Arthur Shelby','John Shelby','Michael Gray','Ada Shelby','Polly Gray')

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 = ['art1.jpg','john1.jpg','ada1.jpg']

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