| import gradio as gr | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| import pathlib | |
| def is_cat(x): return x[0].isupper() | |
| temp = pathlib.PosixPath | |
| pathlib.PosixPath = pathlib.WindowsPath | |
| learn=load_learner('model.pkl') | |
| pathlib.PosixPath=temp | |
| categories = ('Dog', 'Cat') | |
| def classify_image(img): | |
| pred, idx, probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| image = gr.components.Image() | |
| label = gr.components.Label() | |
| examples=['dog.jpg', 'cat.jpg','dunno.jpg'] | |
| a='v' | |
| interface = gr.Interface(fn=classify_image, inputs=[image], outputs=[label], examples=examples) | |
| interface.launch() |