#!/bin/bash

VOCODER_CKPT=/data1/speech/anhnmt2/Speech2Speech/LLaMA-Omni/vocoder/g_00500000
VOCODER_CFG=/data1/speech/anhnmt2/Speech2Speech/LLaMA-Omni/vocoder/config.json

question_file=../examples/question.json
answer_file=../examples/answer.json
model_path=/data1/speech/anhnmt2/Speech2Speech/half-streaming-speech-nlp/checkpoints/omni_whisper-medium_Qwen2.5-3B_pretrained-sft-fc-mixed-vfva_speech-decoder
prompt_version=qwen

python3 ../infer_llm_multiturn.py \
    --model-path $model_path \
    --question-file $question_file \
    --answer-file $answer_file \
    --num-chunks 1 \
    --chunk-idx 0 \
    --temperature 0 \
    --conv-mode $prompt_version \
    --input_type mel \
    --mel_size 80 \
    --s2s
python3 ../convert_jsonl_to_txt.py $answer_file answer.unit
python3 /data1/speech/anhnmt2/Speech2Speech/LLaMA-Omni/fairseq/examples/speech_to_speech/generate_waveform_from_code.py \
    --in-code-file answer.unit \
    --vocoder $VOCODER_CKPT --vocoder-cfg $VOCODER_CFG \
    --results-path answer_wav/ --dur-prediction