| __all__ = ['is_cat','learn','classify_image','categories','image','label','examples','intf'] | |
| import gradio as gr | |
| from fastai.vision.all import * | |
| def is_cat(x):return x[0].isupper() | |
| 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 = ['./Cat.jpg','./dog.jpg','./heh.jpg'] | |
| intf = gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples) | |
| intf.launch(inline=False,share=True) | |