import gradio as gr

def greet(name):
    return "Hello " + name + "!!"

from fastai.vision.all import *

model = load_learner('person_state_model.pkl')
# im = 'happyperson.jpg'
# model.predict(im)

categories = model.dls.vocab

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

image = gr.Image(height=192, width = 192)
label = gr.Label()
examples = ['happyperson.jpg']

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