text: import random
  
  import pandas as pd
  import requests
  
  
  df_test = pd.read_csv('test.csv')
  n = len(df_test)
  
  for ix, row in df_test.iterrows():
      vector = list(row)
  
      if random.random() > .75:
          response_prediction = requests.post('http://localhost:8000/prediction/?score=false',
                                              json=vector)
  
      else:
          response_prediction = requests.post('http://localhost:8000/prediction/?score=true',
                                              json=vector)
      
      if ix % 100 == 0:
          print(f'Request {ix}/{n}: prediction for {vector} is {response_prediction.json()}')
  
  
  response_model_information = requests.get("http://localhost:8000/model_information")
  print(f'Model information: {response_prediction}')
  