File size: 3,249 Bytes
90386c8
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ed37630
90386c8
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
c0e96c7
90386c8
c0e96c7
90386c8
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
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['πŸ‘€ 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, ["πŸ”’ Serial Number", "πŸ‘€ Author", "🌟 Number of Followers"])


desc = f"""
🎯 The Leaderboard aims to track users follower counts.

## πŸ“„ Information

πŸ› οΈ This leaderboard consists of 4000 users scraped from [πŸ€— Huggingface Leaderboard](https://huggingface.co/spaces/Weyaxi/huggingface-leaderboard).

These 4000 users have been selected based on their [πŸ€— Huggingface Leaderboard](https://huggingface.co/spaces/Weyaxi/huggingface-leaderboard) positions:

- πŸ€– Top 2250 authors in the models category

- πŸ“Š Top 1100 authors in the datasets category

- πŸš€ 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. πŸ™‚

## Last Update

βŒ› 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="πŸ” 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()