| # AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb. | |
| # %% auto 0 | |
| __all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_img'] | |
| # %% app.ipynb 2 | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| # %% app.ipynb 3 | |
| def is_cat(x): return x[0].isupper() | |
| # %% app.ipynb 4 | |
| learn = load_learner('export.pkl') | |
| # %% app.ipynb 7 | |
| categories = ('black', 'grizzly', 'teddy') | |
| # %% app.ipynb 8 | |
| def classify_img(img): | |
| cat,idx, prob = learn.predict(img) | |
| return dict(zip(categories, map(float,prob))) | |
| # %% app.ipynb 10 | |
| image = gr.inputs.Image(shape = (192,192)) | |
| label = gr.outputs.Label() | |
| examples = ['teddy.png', 'grizzly.jpg','black.jpeg'] | |
| intf = gr.Interface(fn = classify_img, inputs = image, outputs = label, examples = examples) | |
| intf.launch(inline = False) | |