| from fastai.vision.all import * | |
| import gradio as gr | |
| learn = load_learner('export.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))} | |
| examples = ['/kaggle/input/butterfly-images40-species/test/ADONIS/1.jpg', | |
| '/kaggle/input/butterfly-images40-species/test/AFRICAN GIANT SWALLOWTAIL/2.jpg', | |
| '/kaggle/input/butterfly-images40-species/test/AMERICAN SNOOT/3.jpg'] | |
| image = gr.Image() | |
| label = gr.Label(num_top_classes = 3) | |
| gr.Interface(fn=predict, inputs=image, outputs=label, examples = examples).launch(share=True) | |