input: def scrape_stock_prices(stocks: List[str]) -> List[str]:
      """
      Program a web scraper in Python to extract the latest stock prices from specific websites.
      
      >>> scrape_stock_prices(["AAPL stocks", "MSFT stocks", "FB stocks", "GOOG stocks"])
      ['The price of AAPL stocks is [price value].', 'The price of MSFT stocks is [price value].', 'The price of FB stocks is [price value].', 'The price of GOOG stocks is [price value].']
      """
output:     from bs4 import BeautifulSoup
      import requests
  
      def scrape_stock_prices(stocks: List[str]) -> List[str]:
          prices = []
          for stock in stocks:
              url = f"https://example.com/stock/{stock.split()[0]}"
              response = requests.get(url)
              soup = BeautifulSoup(response.text, 'html.parser')
              price = soup.find('div', class_='price').text
              prices.append(f'The price of {stock} is {price}.')
          return prices