# ################################
# Model: Whisper (Encoder-Decoder) + NLL
# Augmentation: TimeDomainSpecAugment
# Authors: Adel Moumen 2022, Titouan Parcollet 2022, Rosy Southwell 2023
# ################################

model_src: rosyvs/whisat-base
model_save: ./HF_CACHE_DEBUG
model_type: tiny.en
language: english
auto_mix_prec: False # TODO: set to True for CUDA
only_encoder: False

# These values are only used for the searchers.
# They needs to be hardcoded and should not be changed with Whisper.
# They are used as part of the searching process.
# The bos token of the searcher will be timestamp_index
# and will be concatenated with the bos, language and task tokens.
timestamp_index: 50363
eos_index: 50257
bos_index: 50258

# Decoding parameters
min_decode_ratio: 0.0
max_decode_ratio: 1.0 # the commonvoice inference yaml uses 0.1
test_beam_size: 5 # TODO: this was 8, changing to 5 as this is the default used by openAI

whisper: !new:speechbrain.lobes.models.huggingface_whisper.HuggingFaceWhisper
    encoder_only: !ref <only_encoder>
    save_path: whisper_checkpoints
    freeze: True
    freeze_encoder: True
    source: !ref <model_src>
    # language: language

# tokenizer: !new:speechbrain.lobes.models.huggingface_whisper.HuggingFaceWhisper
#     encoder_only: False
#     freeze: True
#     freeze_encoder: True
#     source: !ref openai/whisper-<model_type>

# decoder: !new:speechbrain.decoders.seq2seq.S2SWhisperGreedySearch
#     model: !ref <whisper>
#     bos_index: !ref <timestamp_index>
#     eos_index: !ref <eos_index>
#     min_decode_ratio: !ref <min_decode_ratio>
#     max_decode_ratio: !ref <max_decode_ratio>

decoder: !new:speechbrain.decoders.seq2seq.S2SWhisperBeamSearch
    module: [!ref <whisper>]
    bos_index: !ref <timestamp_index>
    eos_index: !ref <eos_index>
    min_decode_ratio: !ref <min_decode_ratio>
    max_decode_ratio: !ref <max_decode_ratio>
    beam_size: !ref <test_beam_size>

modules:
    whisper: !ref <whisper>
    # tokenizer: !ref <tokenizer>
    decoder: !ref <decoder> # can change to greedy

pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
    loadables:
        whisper: !ref <whisper>
        # tokenizer: !ref <tokenizer>
    #     decoder:  !ref <decoder>
    # paths: 
    #     whisper: !ref <model_src>/whisper.ckpt
        # tokenizer: !ref openai/whisper-<model_type>
    #     decoder: !ref <model_src>/whisper.ckpt

# checkpointer: !new:speechbrain.utils.checkpoints.Checkpointer
#     checkpoints_dir: !ref <model_src>
#     recoverables:
#         whisper: !ref <whisper>