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| from fastai.vision.all import * | |
| import gradio as gr | |
| import torch as t | |
| t.cuda.is_available() | |
| def is_cat(x): return x[0].isupper() | |
| l=load_learner('model.pkl') | |
| cat=('dog','cat') | |
| def classify(img): | |
| s,i,p=l.predict(img) | |
| return dict(zip(cat,map(float,p))) | |
| image=gr.inputs.Image(shape=(192,192)) | |
| label=gr.outputs.Label() | |
| ex=['cat.jpg','dog.jpg','dunno.jpg'] | |
| inf=gr.Interface(fn=classify,inputs=image,outputs=label,examples=ex) | |
| inf.launch(inline=False) | |