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

learn=load_learner('sportball.pkl')

categories = ['basketball','cricket','golf','soccer','tennis','volleyball']

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 = [
    'soccer_ball.jpg',
    'basketball_ball.jpg',
    'volleyball.jpg',
    'tennis_ball.jpg',
    'golf_ball.jpg',
    'cricket_ball.jpg'
]

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, title = "Sports Ball Recognition App", description = "This app could be used by an E-commerce platform to automatically categorize sport balls images uploaded by their sellers. It could help customers save time when searching for and purchasing these products.")
intf.launch(inline=False)