| from fastai.vision.all import * | |
| import gradio as gr | |
| def is_player(x): return x[0] | |
| learn = load_learner('model_basketball.pkl') | |
| def classify_image(img): | |
| pred, idx, probs = learn.predict(img) | |
| return f'{pred} with a probability of {probs[idx]:.04f}' | |
| image = gr.inputs.Image() | |
| label = gr.outputs.Label() | |
| intf = gr.Interface(fn = classify_image, inputs = image, outputs = label) | |
| intf.launch(inline = False) |