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| import subprocess | |
| import os | |
| import gradio as gr | |
| import pandas as pd | |
| import time | |
| import threading | |
| from huggingface_hub import HfApi | |
| api = HfApi() | |
| HF_TOKEN = os.getenv('HF_TOKEN') | |
| repo_url = "https://huggingface.co/datasets/Weyaxi/followers-leaderboard" | |
| os.system(f"git clone --bare --filter=blob:none {repo_url}") | |
| os.chdir("followers-leaderboard.git") | |
| result = subprocess.check_output("git log -1 --pretty=%B", shell=True, universal_newlines=True).replace("Upload", "").replace("/data.csv with huggingface_hub", "").strip().replace(" ", "%20") | |
| os.system(f"wget -Odata.csv https://huggingface.co/datasets/Weyaxi/followers-leaderboard/resolve/main/{result}/data.csv?download=true") | |
| def clickable(x): | |
| return f'<a target="_blank" href="https://huggingface.co/{x}" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">{x}</a>' | |
| def apply_headers(df, headers): | |
| tmp = df.copy() | |
| tmp.columns = headers | |
| return tmp | |
| def search(search_text): | |
| if not search_text: | |
| return df | |
| return df[df['👤 Author'].str.contains(search_text, case=False, na=False)] | |
| def restart_space(): | |
| time.sleep(36000) | |
| api.restart_space(repo_id="Weyaxi/followers-leaderboard", token=HF_TOKEN) | |
| df = pd.read_csv("data.csv").drop("Followers", axis=1) | |
| df_author_copy = df.copy() | |
| df["Author"] = df["Author"].apply(lambda x: clickable(x)) | |
| df = df.sort_values(by='Number of Followers', ascending=False) | |
| df['Serial Number'] = [i for i in range(1, len(df)+1)] | |
| df = df[['Serial Number', "Author", "Number of Followers"]] | |
| df = apply_headers(df, ["🔢 Serial Number", "👤 Author", "🌟 Number of Followers"]) | |
| desc = f""" | |
| 🎯 The Leaderboard aims to track users follower counts. | |
| ## 📄 Information | |
| 🛠️ This leaderboard consists of 4000 users scraped from [🤗 Huggingface Leaderboard](https://huggingface.co/spaces/Weyaxi/huggingface-leaderboard). | |
| These 4000 users have been selected based on their [🤗 Huggingface Leaderboard](https://huggingface.co/spaces/Weyaxi/huggingface-leaderboard) positions: | |
| - 🤖 Top 2250 authors in the models category | |
| - 📊 Top 1100 authors in the datasets category | |
| - 🚀 Top 1100 authors in the spaces category | |
| ## 🤝 I want to see someone here | |
| No problem, you can request to add a user [here](https://huggingface.co/spaces/Weyaxi/followers-leaderboard/discussions/1). | |
| There is no critique; please request anyone. The number of users in this leaderboard is limited because scraping 250k user's follower count is challenging. 🙂 | |
| ## Last Update | |
| ⌛ This space information is last updated in **{result.replace("%20", " ")}**. | |
| """ | |
| title = """ | |
| <div style="text-align:center"> | |
| <h1 id="space-title">🌟 Follower Leaderboard 🌟</h1> | |
| </div> | |
| """ | |
| with gr.Blocks() as demo: | |
| gr.Markdown("""<h1 align="center" id="space-title">🌟 Follower Leaderboard 🌟</h1>""") | |
| gr.Markdown(desc) | |
| with gr.Column(min_width=320): | |
| search_bar = gr.Textbox(placeholder="🔍 Search for a author", show_label=False) | |
| gr_followers = gr.Dataframe(df, interactive=False, datatype=["number", 'markdown', 'number']) | |
| search_bar.submit(fn=search, inputs=search_bar, outputs=gr_followers) | |
| threading.Thread(target=restart_space).start() | |
| demo.launch() |