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