Spaces:
Runtime error
Runtime error
| __all__ = ['block', 'make_clickable_model', 'make_clickable_user', 'get_submissions'] | |
| import gradio as gr | |
| import pandas as pd | |
| from huggingface_hub import HfApi, repocard | |
| def is_duplicated(space_id:str)->None: | |
| card = repocard.RepoCard.load(space_id, repo_type="space") | |
| return getattr(card.data, "duplicated_from", None) is not None | |
| def make_clickable_model(model_name, link=None): | |
| if link is None: | |
| link = "https://huggingface.co/" + "spaces/" + model_name | |
| return f'<a target="_blank" href="{link}">{model_name.split("/")[-1]}</a>' | |
| def get_space_ids(): | |
| api = HfApi() | |
| spaces = api.list_spaces(filter="making-demos") | |
| print(spaces) | |
| space_ids = [x for x in spaces] | |
| return space_ids | |
| def make_clickable_user(user_id): | |
| link = "https://huggingface.co/" + user_id | |
| return f'<a target="_blank" href="{link}">{user_id}</a>' | |
| def get_submissions(): | |
| submissions = get_space_ids() | |
| leaderboard_models = [] | |
| for submission in submissions: | |
| # user, model, likes | |
| if not is_duplicated(submission.id): | |
| user_id = submission.id.split("/")[0] | |
| leaderboard_models.append( | |
| ( | |
| make_clickable_user(user_id), | |
| make_clickable_model(submission.id), | |
| submission.likes, | |
| ) | |
| ) | |
| df = pd.DataFrame(data=leaderboard_models, columns=["User", "Space", "Likes"]) | |
| df.sort_values(by=["Likes"], ascending=False, inplace=True) | |
| df.insert(0, "Rank", list(range(1, len(df) + 1))) | |
| return df | |
| block = gr.Blocks() | |
| with block: | |
| gr.Markdown( | |
| """# Making Demos Leaderboard | |
| Welcome to the leaderboard for the ever-running Making Demos Event! 🏆 | |
| This is a community event where participants create demos of recently released machine learning models, or combine multiple demos to make cool apps! | |
| To attend the event, simply join us in [Discord](https://huggingface.co/join/discord), take the role #collaborate and write under one of the paper posts under #making-demos forum. | |
| You can add `making-demos` to tags in your Spaces' README.md's metadata section to add your demo to this leaderboard. | |
| At the end of every week, winners of this leaderboard will earn special prizes! 🎁 | |
| """ | |
| ) | |
| with gr.Row(): | |
| data = gr.components.Dataframe( | |
| type="pandas", datatype=["number", "markdown", "markdown", "number"] | |
| ) | |
| with gr.Row(): | |
| data_run = gr.Button("Refresh") | |
| data_run.click( | |
| get_submissions, outputs=data | |
| ) | |
| block.load(get_submissions, outputs=data) | |
| block.launch() | |