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