| import gradio as gr | |
| from fastcore.net import urljson, HTTPError | |
| def size(repo): | |
| url = f'https://huggingface.co/api/datasets/{repo}' | |
| try: resp = urljson(f'{url}/treesize/main') | |
| except HTTPError: return f'Did not find repo: {url}' | |
| gb = resp['size'] / 1e9 | |
| return f'{gb:.2f} GB' | |
| iface = gr.Interface(fn=size, inputs=gr.Text(value="tglcourse/CelebA-faces-cropped-128"), outputs="text") | |
| iface.launch() |