| from fastai.vision.all import * | |
| import gradio as gr | |
| learn = load_learner("model.pkl") | |
| categories = ("Cat", "Dog") | |
| def classify_image(image): | |
| pred, i, prob = learn.predict(image) | |
| return dict(zip(categories, map(float, prob))) | |
| image = gr.inputs.Image(shape=(192, 192)) | |
| label = gr.outputs.Label() | |
| examples = ["images/cat.jpg", "images/dog.jpg", "images/dunno.jpg"] | |
| interface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
| interface.launch(inline=False) |