| 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-1.jpg', | |
| 'unknown-2.jpg', | |
| 'unknown-6.jpg', | |
| 'unknown-12.jpg', | |
| 'unknown-16.jpg', | |
| 'unknown-18.jpg' | |
| ] | |
| iface = gr.Interface(fn=recognize_image, inputs=image, outputs=label, examples=examples) | |
| iface.launch(inline=False) | |