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| from fastai.vision.all import * | |
| import gradio as gr | |
| from networkx import center | |
| 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))) | |
| demo = gr.Interface( | |
| fn=classify_image, | |
| inputs=gr.Image(height=224, width=224, label="Upload Image"), | |
| outputs=gr.Label(), | |
| examples=['dog.jpeg', 'cat.jpeg', 'images.jpeg'] | |
| ) | |
| # lanuch the interface | |
| demo.launch() | |