| __all__={'is_cat', "learn" , "classify_image", 'categories', 'image', 'label', 'examples' ,'intf'} | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| 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.components.Image(label="Image Input") | |
| label= gr.components.Label(label="Image Input") | |
| examples = ['dog.jpg','cat.jpg','0002a367-38b4-41c3-a47c-b11e104b394b.jpg'] | |
| intf=gr.Interface(fn=classify_image, inputs=image, outputs=label , examples=examples) | |
| intf.launch(inline= False) |