| from fastai.vision.all import * | |
| import gradio as gr | |
| def is_cat(x): return x[0].isupper() | |
| 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))} | |
| learn = load_learner('model.pkl') | |
| labels = learn.dls.vocab | |
| input = gr.inputs.Image(shape=(512, 512)) | |
| output = gr.outputs.Label(num_top_classes=3) | |
| gr.Interface(fn=predict, inputs=input, outputs=output).launch(share=True) |