Spaces:
Sleeping
Sleeping
| __all__ = ['cloud_learn', 'classify_image', 'cloud_categories', 'cloud_examples', 'intf'] | |
| import gradio as gr | |
| from fastai.vision.all import * | |
| from pathlib import Path | |
| model_path = Path('models') | |
| image_path = Path('images') | |
| cloud_categories = ( | |
| 'Cirrus', | |
| 'Cirrostratus', | |
| 'Cirrocumulus', | |
| 'Altostratus', | |
| 'Altocumulus', | |
| 'Stratus', | |
| 'Stratocumulus', | |
| 'Nimbostratus', | |
| 'Cumulus', | |
| 'Cumulonimbus', | |
| 'Lenticular' | |
| ) | |
| cloud_examples = [str(image_path / f"{c}.jpg") for c in cloud_categories] | |
| cloud_learn = load_learner(model_path/'cloudmodel.pkl') | |
| def classify_image(img): | |
| pred, idx, probs = cloud_learn.predict(img) | |
| return dict(zip(cloud_categories, map(float,probs))) | |
| intf = gr.Interface(fn=classify_image, | |
| inputs=gr.inputs.Image(shape=(192, 192)), | |
| outputs=gr.outputs.Label(), | |
| examples=cloud_examples) | |
| intf.launch(inline=False) |