code: from langchain.chains import LLMChain
  from langchain.prompts import PromptTemplate
  from langchain.chat_models import ChatOpenAI
  from dotenv import load_dotenv
  import os
  from langchain.chains import SimpleSequentialChain
  
  # Create a .env file in the root of your project and add your OpenAI API key to it
  # Load env files
  load_dotenv()
  openai_api_key = os.environ.get('openai_api_key')
  
  # This is an LLMChain to generate company names given a company description.
  llm = ChatOpenAI(temperature=0.7, model_name="gpt-3.5-turbo")
  
  # Create templates
  template_name = """You are a company name generator. Based on a company description, it is your job to create a company name.
  
  Company description: {company_description}
  
  Company name:"""
  
  prompt_template_name = PromptTemplate(input_variables=["company_description"], template=template_name)
  
  # This is an LLMChain to generate company slogans given a company name and company description.
  
  template_slogan = """You are a company slogan generator. Based on a company name, it is your job to create a company slogan.
  
  Company name: {company_name}
  
  
  Company slogan:"""
  
  prompt_template_slogan = PromptTemplate(input_variables=["company_name"], template=template_slogan)
  
  # Create chains
  name_chain = LLMChain(llm=llm, prompt=prompt_template_name)
  slogan_chain = LLMChain(llm=llm, prompt=prompt_template_slogan)
  
  # This is the overall chain where we run these two chains in sequence.
  overall_chain = SimpleSequentialChain(chains=[name_chain, slogan_chain], verbose=True)
  
  slogan = overall_chain.run("We are a company that sells shoes.")
  
apis: langchain.prompts.PromptTemplate langchain.chains.SimpleSequentialChain langchain.chat_models.ChatOpenAI langchain.chains.LLMChain
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