qiantong-xu
commited on
Commit
•
eb33210
1
Parent(s):
ff999bb
Create app.py
Browse files
app.py
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__all__ = ['block', 'make_clickable_model', 'make_clickable_user', 'get_submissions']
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import gradio as gr
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import pandas as pd
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from huggingface_hub import HfApi, repocard
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def is_duplicated(space_id:str)->None:
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card = repocard.RepoCard.load(space_id, repo_type="space")
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return getattr(card.data, "duplicated_from", None) is not None
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def make_clickable_model(model_name, link=None):
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if link is None:
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link = "https://huggingface.co/" + "spaces/" + model_name
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return f'<a target="_blank" href="{link}">{model_name.split("/")[-1]}</a>'
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def get_space_ids():
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api = HfApi()
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spaces = api.list_spaces(filter="making-demos")
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print(spaces)
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space_ids = [x for x in spaces]
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return space_ids
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def make_clickable_user(user_id):
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link = "https://huggingface.co/" + user_id
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return f'<a target="_blank" href="{link}">{user_id}</a>'
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def get_submissions():
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submissions = get_space_ids()
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leaderboard_models = []
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for submission in submissions:
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# user, model, likes
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if not is_duplicated(submission.id):
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user_id = submission.id.split("/")[0]
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leaderboard_models.append(
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(
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make_clickable_user(user_id),
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make_clickable_model(submission.id),
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submission.likes,
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)
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)
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df = pd.DataFrame(data=leaderboard_models, columns=["User", "Space", "Likes"])
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df.sort_values(by=["Likes"], ascending=False, inplace=True)
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df.insert(0, "Rank", list(range(1, len(df) + 1)))
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return df
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block = gr.Blocks()
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with block:
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gr.Markdown(
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"""# Making Demos Leaderboard
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Welcome to the leaderboard for the ever-running Making Demos Event! 🏆
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This is a community event where participants create demos of recently released machine learning models, or combine multiple demos to make cool apps!
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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.
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You can add `making-demos` to tags in your Spaces' README.md's metadata section to add your demo to this leaderboard.
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At the end of every week, winners of this leaderboard will earn special prizes! 🎁
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"""
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)
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with gr.Row():
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data = gr.components.Dataframe(
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type="pandas", datatype=["number", "markdown", "markdown", "number"]
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)
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with gr.Row():
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data_run = gr.Button("Refresh")
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data_run.click(
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get_submissions, outputs=data
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)
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block.load(get_submissions, outputs=data)
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block.launch()
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