| |
| """app.ipynb |
| |
| Automatically generated by Colaboratory. |
| |
| Original file is located at |
| https://colab.research.google.com/drive/1vlBRU28F38BKH1XkEkhTGHIb4Si-o1Dt |
| """ |
|
|
| |
| """Untitled42.ipynb |
| |
| Automatically generated by Colaboratory. |
| |
| Original file is located at |
| https://colab.research.google.com/drive/1E2wzzc6nLLxlKiOSWLuRYe2ormOLQcuN |
| """ |
|
|
| __all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf'] |
|
|
| |
| from fastai.vision.all import * |
| import gradio as gr |
| import timm |
|
|
| |
| learn = load_learner('model.pkl') |
|
|
| |
| categories = learn.dls.vocab |
|
|
| 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 = ['beefsteak.jpeg','cherry.jpeg','grape.jpeg','green.jpeg','heirloom.jpeg', 'kumato.jpeg','roma.jpeg'] |
|
|
| |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) |
| intf.launch() |
