code: def get_one_key(h2ogpt_api_keys, enforce_h2ogpt_api_key):
      if not enforce_h2ogpt_api_key:
          # return None so OpenAI server has no keyed access if not enforcing API key on h2oGPT regardless if keys passed
          return None
      if isinstance(h2ogpt_api_keys, list) and h2ogpt_api_keys:
          return h2ogpt_api_keys[0]
      elif isinstance(h2ogpt_api_keys, str) and os.path.isfile(
          h2ogpt_api_keys
      ):
          with filelock.FileLock(h2ogpt_api_keys + ".lock"):
              with open(h2ogpt_api_keys, "rt") as f:
                  h2ogpt_api_keys = json.load(f)
              if h2ogpt_api_keys:
                  return h2ogpt_api_keys[0]
  
imports: import ast
  import copy
  import functools
  import inspect
  import itertools
  import json
  import os
  import pprint
  import random
  import shutil
  import sys
  import time
  import traceback
  import uuid
  import filelock
  import numpy
  import pandas
  import requests
  from iterators import TimeoutIterator
  from gradio_utils.css import get_css
  from gradio_utils.prompt_form import make_chatbots, get_chatbot_name
  from src.db_utils import set_userid, get_username_direct
  from src.tts_utils import combine_audios
  import gradio
  from enums import DocumentSubset, no_model_str, no_lora_str, no_server_str, LangChainAction, LangChainMode, DocumentChoice, langchain_modes_intrinsic, LangChainTypes, langchain_modes_non_db, gr_to_lg, invalid_key_msg, LangChainAgent, docs_ordering_types, docs_token_handlings, docs_joiner_default
  from gradio_themes import H2oTheme, SoftTheme, get_h2o_title, get_simple_title, get_dark_js, get_heap_js, wrap_js_to_lambda, spacing_xsm, radius_xsm, text_xsm
  from prompter import prompt_type_to_model_name, prompt_types_strings, inv_prompt_type_to_model_lower, non_hf_types, get_prompt, model_names_curated, get_system_prompts, get_llava_prompts
  from utils import flatten_list, zip_data, s3up, clear_torch_cache, get_torch_allocated, system_info_print, ping, makedirs, get_kwargs, system_info, ping_gpu, get_url, get_local_ip, save_generate_output, url_alive, remove, dict_to_html, text_to_html, lg_to_gr, str_to_dict, have_serpapi, have_librosa, have_gradio_pdf, have_pyrubberband, is_gradio_version4, have_fiftyone, n_gpus_global, _save_generate_tokens, get_accordion_named
  from gen import get_model, languages_covered, evaluate, score_qa, inputs_kwargs_list, get_max_max_new_tokens, get_minmax_top_k_docs, history_to_context, langchain_actions, langchain_agents_list, evaluate_fake, merge_chat_conversation_history, switch_a_roo_llama, get_model_max_length_from_tokenizer, get_model_retry, remove_refs, get_on_disk_models, get_llama_lower_hf, model_name_to_prompt_type
  from evaluate_params import eval_func_param_names, no_default_param_names, eval_func_param_names_defaults, input_args_list, key_overrides
  from apscheduler.schedulers.background import BackgroundScheduler
label_desc: Use image node_id 6 for calling a global function with example usage: get_one_key(h2ogpt_api_keys, enforce_h2ogpt_api_key) and returns: None, h2ogpt_api_keys, h2ogpt_api_keys