bhaskartripathi commited on
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0e7fccd
1 Parent(s): 7d8acb9

Create app.py

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  1. app.py +63 -0
app.py ADDED
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+ import requests
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+ from bs4 import BeautifulSoup
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+ import pandas as pd
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+ import gradio as gr
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+
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+ BASE_URL = "https://scale.com/leaderboard"
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+
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+ LEADERBOARDS = {
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+ "Main Leaderboard": "",
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+ "Adversarial Robustness": "/adversarial_robustness",
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+ "Coding": "/coding",
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+ "Instruction Following": "/instruction_following",
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+ "Math": "/math",
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+ "Spanish": "/spanish",
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+ "Methodology": "/methodology"
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+ }
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+
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+ def scrape_leaderboard(leaderboard):
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+ url = BASE_URL + LEADERBOARDS[leaderboard]
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+
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+ response = requests.get(url)
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+ soup = BeautifulSoup(response.content, 'html.parser')
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+
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+ leaderboard_div = soup.find('div', class_='flex flex-col gap-4 sticky top-20')
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+
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+ if not leaderboard_div:
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+ raise ValueError("Leaderboard div not found. The page structure might have changed.")
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+
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+ table = leaderboard_div.find('table', class_='w-full caption-bottom text-sm')
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+
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+ if not table:
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+ raise ValueError("Leaderboard table not found within the div.")
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+
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+ data = []
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+ for row in table.find('tbody').find_all('tr'):
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+ cols = row.find_all('td')
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+ rank = cols[0].find('div', class_='flex').text.strip().split()[0]
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+ model = cols[0].find('a').text.strip()
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+ score = cols[1].text.strip()
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+ confidence = cols[2].text.strip()
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+ data.append([rank, model, score, confidence])
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+
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+ df = pd.DataFrame(data, columns=['Rank', 'Model', 'Score', '95% Confidence'])
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+ return df
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+
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+ def update_leaderboard(leaderboard):
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+ try:
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+ df = scrape_leaderboard(leaderboard)
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+ return df.to_html(index=False)
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+ except Exception as e:
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+ return f"An error occurred: {str(e)}"
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+
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+ # Create Gradio interface
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+ iface = gr.Interface(
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+ fn=update_leaderboard,
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+ inputs=gr.Dropdown(choices=list(LEADERBOARDS.keys()), label="Select Leaderboard"),
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+ outputs=gr.HTML(label="Leaderboard Data"),
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+ title="Scale AI Leaderboard Viewer",
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+ description="Select a leaderboard to view the latest data from Scale.com"
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+ )
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+
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+ # Launch the app
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+ iface.launch()