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from fastai.vision.all import *
import gradio as gr
model = load_learner('tradiotional_clothing_recognition-v1.pkl')
categories = model.dls.vocab
def recognize_image(image):
pred, idx, probs = model.predict(image)
return dict(zip(categories, map(float, probs)))
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label(num_top_classes=5)
examples = [
'unknown-6.jpg',
'unknown-16.jpg',
'unknown-18.jpg'
]
iface = gr.Interface(fn=recognize_image, inputs=image, outputs=label, examples=examples)
iface.launch(inline=False)
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