import requests | |
from bs4 import BeautifulSoup | |
import pandas as pd | |
import json | |
def get_json_format_data(): | |
url = 'https://eduagarcia-open-pt-llm-leaderboard.hf.space/' | |
response = requests.get(url) | |
soup = BeautifulSoup(response.content, 'html.parser') | |
script_elements = soup.find_all('script') | |
json_format_data = json.loads(str(script_elements[1])[31:-10]) | |
return json_format_data | |
def get_datas(data): | |
for component_index in range(10, 50, 1): # component_index sometimes changes when they update the space, we can use this "for" loop to avoid changing component index manually | |
try: | |
result_list = [] | |
i = 0 | |
while True: | |
try: | |
results = data['components'][component_index]['props']['value']['data'][i] | |
columns = data['components'][component_index]['props']['headers'] | |
try: | |
results_json = {"T": results[0], "Model": results[-1]} | |
if len(columns) < 15: # If there are less than 15 columns (this number can definetly change), we know that we are trying wrong component index, so breaking loop to try next component index. | |
break | |
for col_index, col_name in enumerate(columns[2:-1], start=2): | |
results_json[col_name] = results[col_index] | |
except IndexError: # Wrong component index, so breaking loop to try next component index. (NOTE: More than one component index can give you some results but we must find the right component index to get all results we want.) | |
break | |
result_list.append(results_json) | |
i += 1 | |
except IndexError: # No rows to extract so return the list (We know it is the right component index because we didn't break out of loop on the other exception.) | |
return result_list | |
except (KeyError, TypeError): | |
continue | |
return result_list |