| __all__ = ['learning','imgclass','categories','image','label','examples','intfs'] | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| learning = load_learner('model.pkl') | |
| categories = ('griz','black','ted') | |
| def imgclass(img): | |
| pred,idx,probs = learning.predict(img) | |
| return dict(zip(categories, map(float,probs))) | |
| image = gr.inputs.Image(shape=(192,192)) | |
| label = gr.outputs.Label() | |
| examples = ['dett.jpg','grizzly.jpg'] | |
| intfs = gr.Interface(fn=imgclass, inputs=image, outputs=label, examples=examples) | |
| intfs.launch(inline=False) |