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

def is_man(face): return face[0].isupper()

learn = load_learner('gender-classifier-model.pkl')
categories = 'Man', 'Woman'

def classify_image(img):
    pred,idx,probs = learn.predict(img)
    return dict(zip(categories, map(float, probs)))

image = gr.Image(shape=(192, 192))
label = gr.Label()
examples = ['man.jpeg', 'woman.jpeg']

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