| import gradio as gr | |
| form fastai.vision.all import * | |
| def is_cat(): return x[0].is_upper() | |
| learn = load_learner('model.pkl') | |
| categories = ("Dog", "Cat") | |
| def classify_image(img): | |
| prob, idx, probs = learn.predict(img) | |
| return dict(zip(categories, map(float, probs))) | |
| image = gr.inputs.Image(shape = (192, 192)) | |
| label = gr.outputs.Label() | |
| examples = [] | |
| iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples = examples) | |
| iface.launch(inline=False) |