Traceback (most recent call last):
  File "<frozen runpy>", line 198, in _run_module_as_main
  File "<frozen runpy>", line 88, in _run_code
  File "__main__.py", line 4, in <module>
    main()
  File "main.py", line 1162, in main
    coder.run()
  File "base_coder.py", line 887, in run
    self.run_one(user_message, preproc)
  File "base_coder.py", line 928, in run_one
    message = self.preproc_user_input(user_message)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "base_coder.py", line 917, in preproc_user_input
    return self.commands.run(inp)
           ^^^^^^^^^^^^^^^^^^^^^^
  File "commands.py", line 324, in run
    return self.do_run(command, rest_inp)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "commands.py", line 296, in do_run
    return cmd_method(args)
           ^^^^^^^^^^^^^^^^
  File "commands.py", line 1125, in cmd_help
    self.help = Help()
                ^^^^^^
  File "help.py", line 139, in __init__
    Settings.embed_model = HuggingFaceEmbedding(model_name="BAAI/bge-small-en-v1.5")
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "base.py", line 160, in __init__
    model = SentenceTransformer(
            ^^^^^^^^^^^^^^^^^^^^
  File "SentenceTransformer.py", line 339, in __init__
    modules = self._load_auto_model(
              ^^^^^^^^^^^^^^^^^^^^^^
  File "SentenceTransformer.py", line 2112, in _load_auto_model
    transformer_model = Transformer(
                        ^^^^^^^^^^^^
  File "Transformer.py", line 88, in __init__
    config, is_peft_model = self._load_config(model_name_or_path, cache_dir, backend, config_args)
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "Transformer.py", line 139, in _load_config
    find_adapter_config_file(
  File "peft_utils.py", line 83, in find_adapter_config_file
    adapter_cached_filename = cached_file(
                              ^^^^^^^^^^^^
  File "hub.py", line 276, in cached_file
    file = cached_files(path_or_repo_id=path_or_repo_id, filenames=[filename], **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "hub.py", line 507, in cached_files
    raise e
  File "hub.py", line 419, in cached_files
    hf_hub_download(
  File "_validators.py", line 89, in _inner_fn
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "file_download.py", line 1032, in hf_hub_download
    return _hf_hub_download_to_cache_dir(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "file_download.py", line 1165, in _hf_hub_download_to_cache_dir
    _get_metadata_or_catch_error(
  File "file_download.py", line 1699, in _get_metadata_or_catch_error
    metadata = get_hf_file_metadata(
               ^^^^^^^^^^^^^^^^^^^^^
  File "_validators.py", line 89, in _inner_fn
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "file_download.py", line 1622, in get_hf_file_metadata
    response = _httpx_follow_relative_redirects(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "file_download.py", line 302, in _httpx_follow_relative_redirects
    response = http_backoff(
               ^^^^^^^^^^^^^
  File "_http.py", line 506, in http_backoff
    return next(
           ^^^^^
  File "_http.py", line 414, in _http_backoff_base
    response = client.request(method=method, url=url, **kwargs)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "_client.py", line 825, in request
    return self.send(request, auth=auth, follow_redirects=follow_redirects)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "_client.py", line 901, in send
    raise RuntimeError("Cannot send a request, as the client has been closed.")
RuntimeError: Cannot send a request, as the client has been closed.