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

def is_baby(x): return x[0].isupper()

learn = load_learner('export.pkl')

categories = ['Baby', 'Boy', 'Man']

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


image = gr.inputs.Image(shape=(192,192))
labels = gr.outputs.Label()
examples = ['baby.jpg', 'man.jpg']

interface = gr.Interface(fn=classify_images, inputs=image, outputs=labels, examples=examples)
interface.launch(inline=False)