| import gradio as gr | |
| from fastai.vision.all import * | |
| learn = load_learner('model.pkl') | |
| labels = learn.dls.vocab | |
| examples = ['avocado.png', 'hand.png', 'papaya.png'] | |
| def predict(img): | |
| img = PILImage.create(img) | |
| pred, pred_idx, probs = learn.predict(img) | |
| return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
| gr.Interface(fn=predict, | |
| inputs=gr.components.Image(shape=(512, 512)), | |
| outputs=gr.components.Label(num_top_classes=3), | |
| examples=examples | |
| ).launch(share=False) | |