text: typing import Listfrom langchain.docstore.document import Documentimport jsondef write_json(path: str, documents: List[Document]) -> None:    results = [{"text": doc.page_content} for doc in documents]    with open(path, "w") as f:        json.dump(results, f, indent=2)write_json("foo.json", data)# STEP 3: Use# Ingest this as you would any other json file in https://github.com/openai/chatgpt-retrieval-plugin/tree/main/scripts/process_jsonUsing the ChatGPT Retriever Pluginâ€‹Okay, so we've created the ChatGPT Retriever Plugin, but how do we actually use it?The below code walks through how to do that.We want to use ChatGPTPluginRetriever so we have to get the OpenAI API Key.import osimport getpassos.environ["OPENAI_API_KEY"] = getpass.getpass("OpenAI API Key:")    OpenAI API Key: Â·Â·Â·Â·Â·Â·Â·Â·from langchain.retrievers import ChatGPTPluginRetrieverretriever = ChatGPTPluginRetriever(url="http://0.0.0.0:8000", bearer_token="foo")retriever.get_relevant_documents("alice's phone number")    [Document(page_content="This is Alice's phone number: 123-456-7890", lookup_str='', metadata={'id': '456_0', 'metadata': {'source': 'email', 'source_id': '567', 'url': None, 'created_at': '1609592400.0', 'author': 'Alice', 'document_id': '456'}, 'embedding': None, 'score': 0.925571561}, lookup_index=0),