from transformers import AutoModelForCTC, AutoProcessor
model_id = "."
model = AutoModelForCTC.from_pretrained(model_id)
processor = AutoProcessor.from_pretrained(model_id)

vocab_dict = processor.tokenizer.get_vocab()
# print(vocab_dict)
sorted_vocab_dict = {k: v for k, v in sorted(vocab_dict.items(), key=lambda item: item[1])}
print("the sorted vocab list is", sorted_vocab_dict)

from pyctcdecode import build_ctcdecoder

decoder = build_ctcdecoder(
    labels=list(sorted_vocab_dict.keys()),
    kenlm_model_path="5gram_correct.arpa",
)

from transformers import Wav2Vec2ProcessorWithLM

processor_with_lm = Wav2Vec2ProcessorWithLM(
    feature_extractor=processor.feature_extractor,
    tokenizer=processor.tokenizer,
    decoder=decoder
)

processor_with_lm.save_pretrained(".")