| __all__ = ["label_func", "learner", "classify_image", "categories", "image", "label", "examples", "demo"] | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| from huggingface_hub import from_pretrained_fastai | |
| def label_func(f): return f[0] == 'p' | |
| def acc_camvid(*_): pass | |
| def get_y(*_): pass | |
| learner = from_pretrained_fastai("reshane/PoisonIvy") | |
| categories = ('Not Poison Ivy', 'Poison Ivy') | |
| def classify_image(img): | |
| pred,idx,probs = learner.predict(img) | |
| return dict(zip(categories, map(float,probs))) | |
| image = gr.Image(type="filepath", width=192, height=192) | |
| label = gr.Label() | |
| examples = ["pepe.jpg"] | |
| demo = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
| demo.launch(inline=False) | |