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| import gradio as gr | |
| import requests | |
| import asyncio | |
| from typing import Any, Iterable | |
| from gradio.themes.base import Base | |
| from gradio.themes.utils import colors, fonts, sizes | |
| from gradio.themes.utils.colors import Color | |
| from communex.client import CommuneClient | |
| import aiohttp | |
| FONT = """<link href="https://fonts.googleapis.com/css2?family=Roboto+Mono&display=swap" rel="stylesheet">""" | |
| HEADER = """ | |
| <h2 align="center" class="typewriter">Welcome to the Zangief - CommuneAI Translation Subnet Leaderboard!</h2> | |
| <p align="center">This leaderboard showcases the top-performing miners in the Zangief - CommuneAI Translation Subnet. The models are ranked based on their daily rewards.</p> | |
| <p align="center">Zangief is a subnet dedicated to language translation. The goal of the subnet is to collectively bootstrap a language translation application that supports dozens of different languages, communication styles, and specific areas of expertise.</p> | |
| <p align="center">The actors that power the subnet are the miners and validators. The validators generate source material to be translated and pass the source material to the miners. The miners run web services that respond to the given source input with high quality translation. The miners also respond to queries that are served from an end-user application. Over time, the validators will also curate high quality translations to the source material which itself will be cleaned and compiled into a dataset. The dataset that is produced from the mining and validating activity on the subnet will be open source. This dataset can be used to train models or provide useful translations for subtitles or other online media.</p> | |
| """ | |
| EVALUATION_HEADER = """<h3 align="center">Evaluation Details</h3>""" | |
| EVALUATION_DETAILS = """<p align="center"><b>Name</b> represents the model name. <b>Rewards / Day</b> indicates the expected daily rewards for each model in <b>$COMAI</b>. <b>UID</b> is the unique identifier of the miner. <b>$USD Value</b> is the estimated dollar value of the daily rewards.</p>""" | |
| LANGUAGES_SUPPORTED = """ | |
| <h3 align="center">Languages Supported</h3> | |
| <p align="center">Arabic, Chinese, English, French, German, Hebrew, Hindi, Portuguese, Russian, Spanish, Urdu, Vietnamese, and more to come!</p> | |
| """ | |
| netuid = 1 | |
| node_url = "wss://commune-api-node-2.communeai.net" | |
| async def get_com_price(session: aiohttp.ClientSession) -> Any: | |
| retries = 5 | |
| for i in range(retries): | |
| try: | |
| async with session.get("https://api.mexc.com/api/v3/avgPrice?symbol=COMAIUSDT") as response: | |
| response.raise_for_status() | |
| price = float((await response.json())["price"]) | |
| print(f"Fetched COM price: {price}") | |
| return price | |
| except Exception as e: | |
| print(f"Error fetching COM price: {e}") | |
| await asyncio.sleep(retries) | |
| raise RuntimeError("Failed to fetch COM price") | |
| async def make_query(client: CommuneClient) -> tuple[dict[int, int], dict[int, str]]: | |
| request_dict = { | |
| "SubspaceModule": [ | |
| ("Name", [netuid]), | |
| ("Emission", []), | |
| ("Incentive", []), | |
| ("Dividends", []), | |
| ], | |
| } | |
| emission_dict = {} | |
| name_dict = {} | |
| result = client.query_batch_map(request_dict) | |
| print("Query result:", result) | |
| emission = result["Emission"] | |
| netuid_emission = emission[netuid] | |
| incentive = result["Incentive"] | |
| netuid_incentive = incentive[netuid] | |
| dividends = result["Dividends"] | |
| netuid_dividends = dividends[netuid] | |
| names = result["Name"] | |
| highest_uid = max(names.keys()) | |
| for uid in range(highest_uid + 1): | |
| emission = netuid_emission[uid] | |
| if emission != 0: | |
| incentive = netuid_incentive[uid] | |
| dividends = netuid_dividends[uid] | |
| if incentive > 0: | |
| emission_dict[uid] = netuid_emission[uid] | |
| name_dict[uid] = names[uid] | |
| print("Emission dict:", emission_dict) | |
| print("Name dict:", name_dict) | |
| return emission_dict, name_dict | |
| async def get_leaderboard_data(): | |
| async with aiohttp.ClientSession() as session: | |
| try: | |
| com_price = await get_com_price(session) | |
| blocks_in_day = 10_800 | |
| client = CommuneClient(node_url) | |
| emission_dict, name_dict = await make_query(client) | |
| print("got the emission") | |
| scores = {} | |
| for uid, emi in emission_dict.items(): | |
| scores[uid] = (emi / 10**11) * blocks_in_day | |
| sorted_scores = sorted(scores.items(), key=lambda x: x[1], reverse=True) | |
| leaderboard_data = [] | |
| for rank, (uid, score) in enumerate(sorted_scores, start=1): | |
| name = name_dict[uid] | |
| units = score | |
| usd_value = score * com_price | |
| leaderboard_data.append((rank, uid, name, units, f"${usd_value:.2f}")) | |
| print("Leaderboard data:", leaderboard_data) | |
| return leaderboard_data | |
| except Exception as e: | |
| print(f"Error fetching leaderboard data: {e}") | |
| return [] | |
| async def update_leaderboard_table(): | |
| leaderboard_data = await get_leaderboard_data() | |
| leaderboard_data = [list(row) for row in leaderboard_data] | |
| for row in leaderboard_data: | |
| row[0] = f"{row[0]} ๐" | |
| total_usd_value = sum(float(row[4][1:]) for row in leaderboard_data) | |
| rewards_per_week = total_usd_value * 7 | |
| rewards_per_month = total_usd_value * 30 | |
| return leaderboard_data, f''' | |
| <div style="display: flex; justify-content: space-between; align-items: center; font-size: 16px; font-weight: bold;"> | |
| <div>๐๐ค๐ฉ๐๐ก $ ๐๐๐ฃ๐๐ฃ๐ ๐๐๐ฌ๐๐ง๐๐จ ๐๐๐ง ๐๐๐๐ : ${rewards_per_week:,.0f}</div> | |
| <div>๐๐ค๐ฉ๐๐ก $ ๐๐๐ฃ๐๐ฃ๐ ๐๐๐ฌ๐๐ง๐๐จ ๐๐๐ง ๐ฟ๐๐ฎ: ${total_usd_value:,.0f}</div> | |
| <div>๐๐ค๐ฉ๐๐ก $ ๐๐๐ฃ๐๐ฃ๐ ๐๐๐ฌ๐๐ง๐๐จ ๐๐๐ง ๐๐ค๐ฃ๐ฉ๐: ${rewards_per_month:,.0f}</div> | |
| </div> | |
| ''' | |
| stone_gray = Color( | |
| name="stone_gray", | |
| c50="#f5f5f5", | |
| c100="#e9e9e9", | |
| c200="#d9d9d9", | |
| c300="#c4c4c4", | |
| c400="#a6a6a6", | |
| c500="#8f8f8f", | |
| c600="#737373", | |
| c700="#595959", | |
| c800="#464646", | |
| c900="#262626", | |
| c950="#1a1a1a", | |
| ) | |
| class Seafoam(Base): | |
| def __init__( | |
| self, | |
| primary_hue: colors.Color | str = stone_gray, | |
| secondary_hue: colors.Color | str = stone_gray, | |
| neutral_hue: colors.Color | str = stone_gray, | |
| spacing_size: sizes.Size | str = sizes.spacing_md, | |
| radius_size: sizes.Size | str = sizes.radius_md, | |
| text_size: sizes.Size | str = sizes.text_lg, | |
| font: fonts.Font | str | Iterable[fonts.Font | str] = ( | |
| fonts.GoogleFont("Quicksand"), | |
| "ui-sans-serif", | |
| "sans-serif", | |
| ), | |
| font_mono: fonts.Font | str | Iterable[fonts.Font | str] = ( | |
| fonts.GoogleFont("IBM Plex Mono"), | |
| "ui-monospace", | |
| "monospace", | |
| ), | |
| ): | |
| super().__init__( | |
| primary_hue=primary_hue, | |
| secondary_hue=secondary_hue, | |
| neutral_hue=neutral_hue, | |
| spacing_size=spacing_size, | |
| radius_size=radius_size, | |
| text_size=text_size, | |
| font=font, | |
| font_mono=font_mono, | |
| ) | |
| super().set( | |
| block_title_text_weight="600", | |
| block_border_width="3px", | |
| block_shadow="*shadow_drop_lg", | |
| button_shadow="*shadow_drop_lg", | |
| button_large_padding="32px", | |
| button_primary_background_fill_hover="*button_primary_background_fill", | |
| button_primary_background_fill="#333333", | |
| button_primary_text_color="#ffffff", | |
| ) | |
| seafoam = Seafoam() | |
| custom_css = """ | |
| #custom-image { | |
| display: block; | |
| margin-left: auto; | |
| margin-right: auto; | |
| width: 50%; | |
| } | |
| """ | |
| with gr.Blocks(theme=seafoam, analytics_enabled=True, css=custom_css) as demo: | |
| gr.HTML(FONT) | |
| gr.Image("zang_pi.png", elem_id="custom-image") | |
| gr.HTML(HEADER) | |
| gr.HTML(EVALUATION_HEADER) | |
| gr.HTML(EVALUATION_DETAILS) | |
| gr.HTML(LANGUAGES_SUPPORTED) | |
| total_usd_value_html = gr.HTML( | |
| elem_id="total-usd-value", | |
| value=''' | |
| <div style="display: flex; justify-content: space-between; align-items: center; font-size: 16px; font-weight: bold;"> | |
| <div>๐๐ค๐ฉ๐๐ก $ ๐๐๐ฃ๐๐ฃ๐ ๐๐๐ฌ๐๐ง๐๐จ ๐๐๐ง ๐๐๐๐ : $0.00</div> | |
| <div>๐๐ค๐ฉ๐๐ก $ ๐๐๐ฃ๐๐ฃ๐ ๐๐๐ฌ๐๐ง๐๐จ ๐๐๐ง ๐ฟ๐๐ฎ: $0.00</div> | |
| <div>๐๐ค๐ฉ๐๐ก $ ๐๐๐ฃ๐๐ฃ๐ ๐๐๐ฌ๐๐ง๐๐จ ๐๐๐ง ๐๐ค๐ฃ๐ฉ๐: $0.00</div> | |
| </div> | |
| ''' | |
| ) | |
| leaderboard_table = gr.Dataframe( | |
| headers=["Rank ๐", "UID", "Name", "Rewards / Day", "$USD Value"], | |
| datatype=["str", "str", "str", "str", "str"], | |
| interactive=False, | |
| visible=True, | |
| elem_id="leaderboard-table", | |
| ) | |
| refresh_button = gr.Button("Refresh Leaderboard") | |
| refresh_button.click(fn=update_leaderboard_table, outputs=[ | |
| leaderboard_table, total_usd_value_html]) | |
| demo.load(update_leaderboard_table, inputs=None, outputs=[ | |
| leaderboard_table, total_usd_value_html]) | |
| if __name__ == "__main__": | |
| demo.launch() | |