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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) |