Added test description

app.py

@@ -1,4 +1,5 @@
 # Code adapted from: https://huggingface.co/spaces/RaoFoundation/pretraining-leaderboard/blob/main/app.py
+'''
 import argparse
 import functools
 import traceback
@@ -21,11 +22,20 @@ import pandas as pd
 
 load_dotenv()
 
+'''
+import gradio as gr
 FONT = (
     """<link href="https://fonts.cdnfonts.com/css/jmh-typewriter" rel="stylesheet">"""
 )
 TITLE = """<h1 align="center" id="space-title" class="typewriter">Subnet 9 Leaderboard</h1>"""
 HEADER = """<h2 align="center" class="typewriter"><a href="https://github.com/macrocosm-os/pretraining" target="_blank">Subnet 9</a> is a <a href="https://bittensor.com/" target="_blank">Bittensor</a> subnet that rewards miners for producing pretrained Foundation-Models on the <a href="https://huggingface.co/datasets/tiiuae/falcon-refinedweb" target="_blank">Falcon Refined Web dataset</a>. It acts like a continuous benchmark whereby miners are rewarded for attaining the best losses on randomly sampled pages of Falcon.<br/>The models with the best head-to-head loss on the evaluation data receive a steady emission of TAO.</h3>"""
+
+
+gr.HTML(FONT)
+gr.HTML(TITLE)
+gr.HTML(HEADER)
+demo.launch(share=True)
+'''
 EVALUATION_DETAILS = """<ul><li><b>Name:</b> the 🤗 Hugging Face model name (click to go to the model card)</li><li><b>Rewards / Day:</b> the expected rewards per day based on current ranking.</li><li><b>Last Average Loss:</b> the last loss value on the evaluation data for the model as calculated by a validator (lower is better)</li><li><b>UID:</b> the Bittensor UID of the miner</li><li><b>Block:</b> the Bittensor block that the model was submitted in</li></ul><br/>More stats on <a href="https://taostats.io/subnets/netuid-9/" target="_blank">taostats</a>."""
 EVALUATION_HEADER = """<h3 align="center">Shows the latest internal evaluation statistics as calculated by the Opentensor validator</h3>"""
 VALIDATOR_WANDB_PROJECT = "opentensor-dev/pretraining-subnet"
@@ -435,6 +445,6 @@ def main():
     scheduler.start()
 
     demo.launch()
+'''
 
-
-main()
+#main()