merve/notebooks

1 2__all__ = ['block', 'make_clickable_model', 'make_clickable_user', 'get_submissions']3 4import gradio as gr5import pandas as pd6from huggingface_hub import HfApi, repocard7 8 9#def is_duplicated(space_id:str)->None:10#    card = repocard.RepoCard.load(space_id, repo_type="space")11#    return getattr(card.data, "duplicated_from", None) is not None12 13 14 15def make_clickable_model(model_name, repo_type, link=None):16    if link is None:17      if repo_type == "Dataset":18        link = "https://huggingface.co/" + "datasets/" + model_name19      else:20        link = "https://huggingface.co/" + model_name21    return f'<a target="_blank" href="{link}">{model_name.split("/")[-1]}</a>'22 23def get_repo_ids(repo_type):24    api = HfApi()25    if repo_type == "Model":26      notebooks = api.list_models(filter=["notebook-favorites"])27    elif repo_type == "Dataset":28      notebooks = api.list_datasets(filter=["notebook-favorites"])29    print(notebooks)30    notebook_ids = [x for x in notebooks]31    return notebook_ids32 33 34def make_clickable_user(user_id):35    link = "https://huggingface.co/" + user_id36    return f'<a  target="_blank" href="{link}">{user_id}</a>'37 38def get_submissions(repo_type):39    submissions = get_repo_ids(repo_type)40    leaderboard_models = []41 42    for submission in submissions:43        # user, model, likes44        #if not is_duplicated(submission.id):45        user_id = submission.id.split("/")[0]46        leaderboard_models.append(47            (48                make_clickable_user(user_id),49                make_clickable_model(submission.id, repo_type),50                submission.likes,51            )52        )53 54    df = pd.DataFrame(data=leaderboard_models, columns=["User", "Repository", "Likes"])55    df.sort_values(by=["Likes"], ascending=False, inplace=True)56    df.insert(0, "Rank", list(range(1, len(df) + 1)))57    return df58 59 60 61block = gr.Blocks()62 63with block:64    gr.Markdown(65        """# Notebooks Leaderboard66 67    This Space compiles coolest model and dataset repositories that contain notebooks!68    """69    )70    with gr.Tabs():71        with gr.TabItem("Notebooks in Model Repositories 🤖"):72            with gr.Row():73                model_data = gr.components.Dataframe(74                    type="pandas", datatype=["number", "markdown", "markdown", "number"]75                )76            with gr.Row():77                data_run = gr.Button("Refresh")78                data_run.click(79                    get_submissions, inputs=gr.Variable("Model"), outputs=model_data80                )81        with gr.TabItem("Notebooks in Dataset Repositories 📖"):82            with gr.Row():83                dataset_data = gr.components.Dataframe(84                    type="pandas", datatype=["number", "markdown", "markdown", "number"]85                )86            with gr.Row():87                data_run = gr.Button("Refresh")88                data_run.click(89                    get_submissions, inputs=gr.Variable("Dataset"), outputs=dataset_data90                )91 92    block.load(get_submissions, inputs=gr.Variable("Model"), outputs=model_data)93    block.load(get_submissions, inputs=gr.Variable("Dataset"), outputs=dataset_data)94 95 96block.launch(debug=True)