| import gradio as gr | |
| from fastai.vision.all import * | |
| learn = load_learner("model.pkl") | |
| animal_list = ['cat', 'cow', 'deer', 'dog', 'donkey', 'goat', 'horse', 'pig', 'rabbit', 'sheep'] | |
| def classify_img(img): | |
| animal, _, prob = learn.predict(img) | |
| return dict(zip(animal_list, map(float, prob))) | |
| image = gr.inputs.Image(shape=(192, 192)) | |
| label = gr.outputs.Label() | |
| intf = gr.Interface(fn=classify_img, inputs=image, outputs=label) | |
| intf.launch(inline=False) |