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| import gradio as gr | |
| from fastai.vision.all import * | |
| learn = load_learner('peaky.pkl') | |
| categories = ('Thomas Shelby','Arthur Shelby','John Shelby','Michael Gray','Ada Shelby','Polly Gray') | |
| 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 = ['art1.jpg','john1.jpg','ada1.jpg'] | |
| intf = gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples) | |
| intf.launch(inline=False) | |