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| # AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb. | |
| # %% auto 0 | |
| __all__ = ['categories', 'image', 'label', 'examples', 'intf', 'classify_image'] | |
| # %% ../app.ipynb 1 | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| # %% ../app.ipynb 3 | |
| learn = load_learner('model.pkl') | |
| # %% ../app.ipynb 5 | |
| categories = ('Elephantiasis','Normal Leg','Normal Skin','Ringworm','Skin Acne', 'Skin Cancer') | |
| def classify_image(img): | |
| pred,idx,probs = learn.predict(img) | |
| return dict(zip(categories,map(float,probs))) | |
| # %% ../app.ipynb 7 | |
| image = gr.inputs.Image(shape=(192,192)) | |
| label = gr.outputs.Label() | |
| examples = ['1.jpg','2.jpg','3.jpg','4.jpg','5.jpg'] | |
| intf = gr.Interface(fn = classify_image,inputs = image,outputs = label,examples= examples) | |
| intf.launch(inline=False) | |