# Author: KrorngAI org.
# Date: March 2026

from transformers import PreTrainedConfig


class TrorYongASRConfig(PreTrainedConfig):
    model_type = "troryongasr"

    def __init__(
        self,
        vocab_size: int = 48005,  # use the tokenizer's vocab size
        n_mels: int = 80,
        n_audio_ctx: int = 1500,
        n_text_ctx: int = 1024,
        n_embed: int = 384,
        n_head: int = 6,
        n_layer: int = 4,
        dropout: float= 0.0,
        bias: bool = True,
        pad_id: int = 0,
        eot_id: int = 2,
        tie_word_embeddings: bool = True,
        **kwargs,
    ):
        self.vocab_size = vocab_size
        self.n_mels = n_mels
        self.n_audio_ctx = n_audio_ctx
        self.n_text_ctx = n_text_ctx
        self.n_embed = n_embed
        self.n_head = n_head
        self.n_layer = n_layer
        self.dropout = dropout
        self.bias = bias
        self.pad_id = pad_id
        self.eot_id = eot_id
        self.tie_word_embeddings = tie_word_embeddings
        super().__init__(**kwargs)