| import gradio as gr | |
| from fastai.vision.all import * | |
| learn = load_learner('model.pkl') | |
| categories = ('Cockapoo', "Labradoodle") | |
| def predict(img): | |
| pred, idx, probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| iface = gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(192,192)), outputs="text") | |
| iface.launch() |