| from fastai.vision.all import * | |
| import gradio as gr | |
| learn = load_learner(Path('export.pkl')) | |
| #categories = ("strawberry", "blueberry", "raspberry", "cranberry", "mulberry", "other") | |
| categories = learn.dls.vocab | |
| def classify_image(img): | |
| pred,idx,probs = learn.predict(img) | |
| return dict(zip(categories, map(float,probs))) | |
| image = gr.inputs.Image(shape=(128,128)) | |
| label = gr.outputs.Label() | |
| iface = gr.Interface(fn=classify_image, inputs=image, outputs=label) | |
| iface.launch(inline=False) |