| import gradio as gr | |
| from fastai.vision.all import * | |
| path = Path() | |
| learn_inf = load_learner(path / 'export.pkl') | |
| labels = ['beach', 'field', 'lake'] | |
| def predict(img): | |
| img = PILImage.create(img) | |
| pred, pred_idx, probs = learn_inf.predict(img) | |
| return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
| gr_interface = gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), | |
| outputs=gr.outputs.Label(num_top_classes=len(labels)), interpretation="default") | |
| gr_interface = gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), | |
| outputs=gr.outputs.Label(num_top_classes=len(labels)), | |
| interpretation="default") | |
| gr_interface.launch() | |