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

def label_func(fname):
    if int(str(fname)[str(fname).index('_')+1]) == 0:
        return "Male"
    return "Female"

learn = load_learner('gender.pkl')

categories = ('Male', 'Female')

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 = ['Male.jpg', 'Female.jpg']


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