| import gradio as gr | |
| from fastai.vision.all import * | |
| import skimage | |
| def is_cat(x): | |
| return x[0].isupper() | |
| learn = load_learner("model.pkl") | |
| labels = learn.dls.vocab | |
| 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.inputs.Image(shape=(512, 512)), | |
| outputs=gr.outputs.Label(num_top_classes=3), | |
| ).launch(share=False) | |