| !pip install -Uqq fastai | |
| !pip install gradio | |
| __all__ = ['is_cat','learn','classify_image','categories','image','label','examples','intf'] | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| def is_cat(x): return x[0].isupper() | |
| import pathlib | |
| plt = platform.system() | |
| if plt == 'Windows': pathlib.PosixPath = pathlib.WindowsPath | |
| learn = load_learner('model.pkl') | |
| categories = ('Dog','Cat') | |
| 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 = ['dog.jpg','cat.jpg','dunno.jpg'] | |
| intf = gr.Interface(fn=classify_image , inputs = image, outputs = label, examples = examples) | |
| intf.launch(inline = False) |