input: 
  from typing import List
  
  from bs4 import BeautifulSoup
  import requests
  
  def get_stock_price(stocks: List[str]) -> List[str]:
      """ Extracts the latest stock prices from specific websites for each stock in the input list.
      Each stock name is used to form a URL that will be scraped for the current price.
      Returns a list of strings that contains the name of the stock and its current price, e.g.:
      "The price of AAPL stocks is 150.00."
      >>> get_stock_price(["AAPL stocks", "MSFT stocks", "FB stocks", "GOOG stocks"])
      ['The price of AAPL stocks is 150.00.', 'The price of MSFT stocks is 280.00.', 'The price of FB stocks is 350.00.', 'The price of GOOG stocks is 2500.00.']
      """
      def fetch_price(stock):
          url = f"https://finance.yahoo.com/quote/{stock}"
          response = requests.get(url)
          soup = BeautifulSoup(response.text, 'html.parser')
          price = soup.find('div', {'class': 'My(6px) Pos(r) smartphone_Mt(6px)'}).find('span').text
          return price
      
      prices = []
      for stock in stocks:
          price = fetch_price(stock)
          prices.append(f'The price of {stock} is {price}.')
      
      return prices
  
output:     def fetch_price(stock):
          url = f"https://finance.yahoo.com/quote/{stock}"
          response = requests.get(url)
          soup = BeautifulSoup(response.text, 'html.parser')
          price = soup.find('div', {'class': 'My(6px) Pos(r) smartphone_Mt(6px)'}).find('span').text
          return price
      
      prices = []
      for stock in stocks:
          price = fetch_price(stock)
          prices.append(f'The price of {stock} is {price}.')
      
      return prices