| from fastai.vision.all import* | |
| import gradio as gr | |
| from joblib import dump, load | |
| import pathlib | |
| plt = platform.system() | |
| if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath | |
| learn = load_learner('model.pkl') | |
| im_bb = PILImage.create('samp_bb.jpg') | |
| im_lf = PILImage.create('samp_lf.jpg') | |
| im_other = PILImage.create('samp_other.jpg') | |
| categories = ('bb', 'lf', 'other') | |
| def classify_image(img): | |
| pred, idx, probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| image = gr.Image(height=500, width=500) | |
| label = gr.Label() | |
| examples = ['samp_lf.jpg', 'samp_other.jpg'] | |
| intf= gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
| intf.launch(inline=False) |