#!/bin/bash
question_file=examples/asr/test-clean/question.json
answer_file=examples/asr/test-clean/answer_full_data.json
model_path=/data1/speech/anhnmt2/Speech2Speech/LLaMA-Omni/models/llm/Qwen2.5-3B-Instruct
speech_encoder_path=/data1/speech/anhnmt2/Speech2Speech/LLaMA-Omni/models/speech_encoder/whisper-medium
speech_projector_path=/data1/speech/anhnmt2/Speech2Speech/half-streaming-speech-nlp/checkpoints/omni_whisper-medium_Qwen2.5-3B_pretrained-asr-full-data-augment-0.2/checkpoint-56000/speech_projector.bin
prompt_version=qwen

# vietnamese ver
# question_file=examples/asr/viet-bud/question.json
# answer_file=examples/asr/viet-bud/answer.json
# model_path=/data1/speech/anhnmt2/Speech2Speech/LLaMA-Omni/models/llm/Qwen2.5-1.5B-Instruct
# speech_encoder_path=/data1/speech/anhnmt2/Speech2Speech/LLaMA-Omni/models/speech_encoder/PhoWhisper-medium
# speech_projector_path=/data1/speech/thinhnt/Llama-Omni/half_streaming/checkpoints/qwen1.5B-phowhisper_medium-pretrained_continue/checkpoint-80000/speech_projector.bin


python3 ../infer_asr.py \
    --model-path $model_path \
    --speech-encoder-path $speech_encoder_path \
    --speech-projector-path $speech_projector_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

python3 ../get_wer.py $answer_file