Update app.py

app.py

@@ -13,18 +13,15 @@ import time
 
 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>
+<h2 align="center" class="typewriter">Welcome to the Nya - CommuneAI Compute Subnet Leaderboard!</h2>
+<p align="center">This leaderboard showcases the top-performing miners in the Nya - CommuneAI Compute Subnet. The models are ranked based on their daily rewards.</p>
+<p align="center">Nya is a subnet dedicated to computing. Nya means purpose in Swahili. Training models like ChatGPT and Llama costs approximately $300 million, requiring billion-dollar datacenters. This expense is a significant barrier for many researchers. Inspired by initiatives like Folding at Home and Learning at Home, we envision a decentralized network that democratizes AI research and development through a shared mission and purpose. During the global pandemic, Folding at Home saw such an influx of participants that its computing power exceeded the world's largest supercomputers. Recognizing this potential, we are developing technology to enable the decentralized training of large models, benefiting all participants. We believe that the network's value will grow as more participants join and as we continue to release new models and technologies.</p>
+<p align="center">In this subnet, miners are rewarded for completing assigned tasks, which involve machine learning computations instead of solving cryptographic puzzles like in Bitcoin mining. The results are validated to ensure correctness and maintain network integrity. Rewards are distributed based on each miner's share of the total computation performed, meaning the more computation a miner completes, the more rewards they receive.</p>
 """
 EVALUATION_HEADER = """<h3 align="center">Evaluation Details</h3>"""
 EVALUATION_DETAILS = """<p align="center"><b>Name</b> represents the model name. <b>Rewards / Day</b> indicates the expected daily rewards for each model in <b>$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
+
+netuid = 8
 node_url = "wss://commune-api-node-2.communeai.net"
 
 def get_validator_uids(client, netuid):