text: system_prompt_template = """You are expert coder Jon Carmack. Use the provided design context to create idomatic HTML/CSS code as possible based on the user request.    Everything must be inline in one file and your response must be directly renderable by the browser.    Figma file nodes and metadata: {context}"""    human_prompt_template = "Code the {text}. Ensure it's mobile responsive"    system_message_prompt = SystemMessagePromptTemplate.from_template(        system_prompt_template    )    human_message_prompt = HumanMessagePromptTemplate.from_template(        human_prompt_template    )    # delete the gpt-4 model_name to use the default gpt-3.5 turbo for faster results    gpt_4 = ChatOpenAI(temperature=0.02, model_name="gpt-4")    # Use the retriever's 'get_relevant_documents' method if needed to filter down longer docs    relevant_nodes = figma_doc_retriever.get_relevant_documents(human_input)    conversation = [system_message_prompt, human_message_prompt]    chat_prompt = ChatPromptTemplate.from_messages(conversation)    response = gpt_4(        chat_prompt.format_prompt(            context=relevant_nodes, text=human_input        ).to_messages()    )    return responseresponse = generate_code("page top header")Returns the following in response.content:<!DOCTYPE html>\n<html lang="en">\n<head>\n    <meta charset="UTF-8">\n    <meta name="viewport" content="width=device-width, initial-scale=1.0">\n