| from fastai.vision.all import * |
| import gradio as gr |
|
|
|
|
| def is_cell(x): return x[0].isupper() |
|
|
|
|
| learn = load_learner('export.pkl') |
|
|
| categories = ('Plant Cell', 'Bone Cell', 'Blood Cell', 'Stem Cell') |
|
|
|
|
| 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 = ['stem cell.jpg', 'plant cell.jpg'] |
|
|
| intf = gr.Interface(fn=classify_image, inputs=image, |
| outputs=label, examples=examples) |
| intf.launch(inline=False) |
|
|
