text: # in executors.py
  backend_model = "sentence-transformers/msmarco-distilbert-base-v3"
  backend_top_k = 10
  
  # in app.py
  backend_port = 45678
  backend_workdir = "workspace"
  backend_datafile = "./data/appstore_games-shuffled.csv"
  text_length = 50 # How many words to index for each app? Longer = more accurate, shorter = quicker
  max_docs = 3000 # How many apps to index
  
  # dataset
  dataset_url = "https://github.com/alexcg1/ml-datasets/blob/master/nlp/strategy_games/appstore_games.csv?raw=true" 
  dataset_filename = 'appstore_games.csv'
  random_seed = 42 # Ensure we can replicate shuffling so we get consistent results
  