readme: import spacy
  import random
  
  # Load the Spacy English language model
  nlp = spacy.load('en_core_web_md')
  
  # List of pre-defined responses
  responses = [
      "I'm sorry, I don't understand what you're trying to say.",
      "Could you please provide more information?",
      "I'm sorry, I'm not able to help with that.",
      "Can you please rephrase that?"
  ]
  
  while True:
      # Get user input
      user_input = input("User: ")
  
      # Parse user input using the Spacy model
      doc = nlp(user_input)
  
      # Identify the most similar pre-defined response
      best_response = responses[0]
      best_similarity = doc.similarity(nlp(responses[0]))
      for response in responses:
          similarity = doc.similarity(nlp(response))
          if similarity > best_similarity:
              best_response = response
              best_similarity = similarity
  
      # Respond with the most similar pre-defined response
      print("Bot: " + best_response)