| import gradio as gr | |
| from fastai.vision.all import * | |
| def shoe(x): | |
| return x[0].isupper() | |
| learn = load_learner('ShoeClassifier.pkl') | |
| categories = ("everyday running shoes", "running racing shoes", | |
| "stability running shoes", "tempo running shoes") | |
| def classify_image(img): | |
| pred, idx, probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| image = gr.inputs.Image(shape=(256, 256)) | |
| label = gr.outputs.Label() | |
| examples = ["racers.jpeg", "stability.jpeg", "dailytrainer.jpeg", "tempo.jpeg"] | |
| intf = gr.Interface(fn=classify_image, inputs=image, | |
| outputs=label, examples=examples) | |
| intf.launch(inline=False) | |