Create app.py

app.py

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+
+__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()