| from fastai.vision.all import * | |
| import gradio as gr | |
| def is_cat(x): | |
| return x[0].isupper() | |
| learn = load_learner("model.pkl") | |
| categories = ("Dog", "Cat") | |
| def classify_image(image): | |
| pred, pred_idx, probs = learn.predict(image) | |
| return dict(zip(categories, map(float, probs))) | |
| image = gr.inputs.Image(shape=(192, 192)) | |
| label = gr.outputs.Label(num_top_classes=2) | |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label) | |
| intf.launch(inline=False) | |