"Auto" mode not working

[markusressel]

I am running the latest docker container (2.4.0).
The release notes state that there is a new option called auto for the --model parameter, but using it fails with this message:

Traceback (most recent call last):
  File "/usr/lib/python3.9/runpy.py", line 197, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/usr/lib/python3.9/runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "/usr/local/lib/python3.9/dist-packages/wyoming_faster_whisper/__main__.py", line 155, in <module>
    run()
  File "/usr/local/lib/python3.9/dist-packages/wyoming_faster_whisper/__main__.py", line 150, in run
    asyncio.run(main())
  File "/usr/lib/python3.9/asyncio/runners.py", line 44, in run
    return loop.run_until_complete(main)
  File "/usr/lib/python3.9/asyncio/base_events.py", line 642, in run_until_complete
    return future.result()
  File "/usr/local/lib/python3.9/dist-packages/wyoming_faster_whisper/__main__.py", line 124, in main
    whisper_model = faster_whisper.WhisperModel(
  File "/usr/local/lib/python3.9/dist-packages/faster_whisper/transcribe.py", line 139, in __init__
    model_path = download_model(
  File "/usr/local/lib/python3.9/dist-packages/faster_whisper/utils.py", line 78, in download_model
    raise ValueError(
ValueError: Invalid model size 'auto', expected one of: tiny.en, tiny, base.en, base, small.en, small, medium.en, medium, large-v1, large-v2, large-v3, large, distil-large-v2, distil-medium.en, distil-small.en, distil-large-v

Am I missing something?

[cociweb]

__main__.py: error: argument --beam-size: invalid int value: 'null'
evenn if the --beam-size 5 or '5'

[synesthesiam]

I've updated the Docker image to 2.5.0. Please try again with --model auto and --beam-size 0 to use automatic settings.
This version also supports using HuggingFace transformers models directly:

docker run -it -p 10300:10300 -v /path/to/local/data:/data rhasspy/wyoming-whisper --use-transformers --model openai/whisper-tiny.en --language en

[markusressel]

Using the container 2.5.0, testing with your options:

--use-transformers
--model openai/whisper-tiny.en
--language en

does work 👍

Using the options:

--model auto
--beam-size 0

results in this error:

  File "/usr/lib/python3.11/asyncio/base_events.py", line 653, in run_until_complete
    return future.result()
           ^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/wyoming_faster_whisper/__main__.py", line 160, in main
    whisper_model = faster_whisper.WhisperModel(
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/faster_whisper/transcribe.py", line 664, in __init__
    self.hf_tokenizer = tokenizers.Tokenizer.from_pretrained(
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/file_download.py", line 1008, in hf_hub_download
    return _hf_hub_download_to_cache_dir(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/file_download.py", line 1115, in _hf_hub_download_to_cache_dir
    _raise_on_head_call_error(head_call_error, force_download, local_files_only)
  File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/file_download.py", line 1648, in _raise_on_head_call_error
    raise LocalEntryNotFoundError(
huggingface_hub.errors.LocalEntryNotFoundError: An error happened while trying to locate the file on the Hub and we cannot find the requested files in the local cache. Please check your connection and try again or make sure your Internet connection is on.
Traceback (most recent call last):
  File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_http.py", line 409, in hf_raise_for_status
    response.raise_for_status()
  File "/usr/local/lib/python3.11/dist-packages/requests/models.py", line 1026, in raise_for_status
    raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 403 Client Error: Forbidden for url: https://huggingface.co/openai/whisper-tiny/resolve/main/tokenizer.json

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/file_download.py", line 1533, in _get_metadata_or_catch_error
    metadata = get_hf_file_metadata(
               ^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/file_download.py", line 1450, in get_hf_file_metadata
    r = _request_wrapper(
        ^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/file_download.py", line 286, in _request_wrapper
    response = _request_wrapper(
               ^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/file_download.py", line 310, in _request_wrapper
    hf_raise_for_status(response)
  File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_http.py", line 473, in hf_raise_for_status
    raise _format(HfHubHTTPError, message, response) from e
huggingface_hub.errors.HfHubHTTPError: 403 Forbidden: None.
Cannot access content at: https://huggingface.co/openai/whisper-tiny/resolve/main/tokenizer.json.
Make sure your token has the correct permissions.

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "<frozen runpy>", line 198, in _run_module_as_main
  File "<frozen runpy>", line 88, in _run_code
  File "/usr/local/lib/python3.11/dist-packages/wyoming_faster_whisper/__main__.py", line 215, in <module>
    run()
  File "/usr/local/lib/python3.11/dist-packages/wyoming_faster_whisper/__main__.py", line 210, in run
    asyncio.run(main())
  File "/usr/lib/python3.11/asyncio/runners.py", line 190, in run
    return runner.run(main)
           ^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.11/asyncio/runners.py", line 118, in run
    return self._loop.run_until_complete(task)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.11/asyncio/base_events.py", line 653, in run_until_complete
    return future.result()
           ^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/wyoming_faster_whisper/__main__.py", line 160, in main
    whisper_model = faster_whisper.WhisperModel(
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/faster_whisper/transcribe.py", line 664, in __init__
    self.hf_tokenizer = tokenizers.Tokenizer.from_pretrained(
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/file_download.py", line 1008, in hf_hub_download
    return _hf_hub_download_to_cache_dir(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/file_download.py", line 1115, in _hf_hub_download_to_cache_dir
    _raise_on_head_call_error(head_call_error, force_download, local_files_only)
  File "/usr/local/lib/python3.11/dist-packages/huggingface_hub/file_download.py", line 1648, in _raise_on_head_call_error
    raise LocalEntryNotFoundError(
huggingface_hub.errors.LocalEntryNotFoundError: An error happened while trying to locate the file on the Hub and we cannot find the requested files in the local cache. Please check your connection and try again or make sure your Internet connection is on.

I have not give any token in the config or env vars somewhere, should I?

[markusressel]

Ok I guess the language is still necessary.
Using these options also works:

--model auto
--beam-size 0
--language en

👍

[synesthesiam]

--model auto is not compatible with --use-transformers right now

I need to add a small fix for it.