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

#def is_cat(x): return x[0].isupper()
learn = load_learner('gender_classifier1.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']

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