| import gradio as gr | |
| from fastai.vision.all import * | |
| def is_marth(x): return x[0].isupper() | |
| # Model | |
| learn = load_learner("model.pkl") | |
| # Categories | |
| categories = ("Marth", "Sheik") | |
| def classify_images(img): | |
| pred, idx, probs = model.predict(img) | |
| return dict(zip(catogories, map(float, probs))) | |
| image = gr.inputs.Image(shape = (192, 192)) | |
| label = gr.outputs.Label() | |
| intf = gr.Interface(fn = classify_images, inputs = image, outputs = label) | |
| intf.launch() |