| from fastai.vision.all import * | |
| import gradio as gr | |
| def is_cat(x): | |
| return x[0].isupper() | |
| # Gradio执行一个函数 | |
| def classify_image(img): | |
| pred, idx, probs = learn.predict(img) | |
| return dict(zip(categories, map(float,probs))) # 不能处理tensor，转为float | |
| learn = load_learner('model/model.pkl') | |
| categories = ('Dog', 'Cat') | |
| image = gr.inputs.Image(shape=(192, 192)) | |
| label = gr.outputs.Label() | |
| examples = ['sample/dog.jpg', 'sample/cat.jpg'] | |
| # 创建并启动 | |
| intf = gr.Interface(fn=classify_image, | |
| inputs=image, | |
| outputs=label, | |
| examples=examples) | |
| intf.launch(inline=False) |