#!/usr/bin/env bash
# Copyright    2025  Xiaomi Corp.        (authors: Fangjun Kuang)
#
# Auto generated! Do NOT edit!

set -ex

log() {
  # This function is from espnet
  local fname=${BASH_SOURCE[1]##*/}
  echo -e "$(date '+%Y-%m-%d %H:%M:%S') (${fname}:${BASH_LINENO[0]}:${FUNCNAME[1]}) $*"
}

wget -qq https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/espeak-ng-data.tar.bz2
tar xf espeak-ng-data.tar.bz2
rm espeak-ng-data.tar.bz2

mkdir -p release

{% for model in model_list %}

name={{ model.name }}
kind={{ model.kind }}
lang={{ model.lang }}
model_name={{ model.model_name }}
text="{{ model.text }}"
num_speakers={{ model.ns }}
sample_rate={{ model.sr }}

{{ model.cmd }}

echo "files"

ls -lh
echo "---"

python3 ./add_meta_data.py \
  --name $name \
  --kind $kind \
  --lang $lang

dst=vits-piper-$lang-$name-$kind
dst_int8=vits-piper-$lang-$name-$kind-int8
dst_fp16=vits-piper-$lang-$name-$kind-fp16
mkdir -p $dst

mv -v tokens.txt  $dst/
mv -v MODEL_CARD $dst/ || true
mv -v README $dst/ || true
mv -v README.md $dst/ || true
mv -v LICENSE.txt $dst/ || true
mv -v *.json  $dst/
cp -a ./espeak-ng-data $dst/

cp -a $dst $dst_int8
cp -a $dst $dst_fp16

mv -v *.onnx  $dst/

python3 ./dynamic_quantization.py \
  --input $dst/$model_name \
  --output-int8 $dst_int8/$model_name \
  --output-fp16 $dst_fp16/$model_name >/dev/null 2>&1

echo "---fp32---"
ls -lh $dst

echo "---int8---"
ls -lh $dst_int8

echo "---fp16---"
ls -lh $dst_fp16

tar cjf ${dst}.tar.bz2 $dst
tar cjf ${dst_int8}.tar.bz2 $dst_int8
tar cjf ${dst_fp16}.tar.bz2 $dst_fp16

if [ -d hf ]; then
  mkdir -p hf/piper/mp3/$lang/vits-piper-$lang-$name-$kind
  for i in $(seq $num_speakers); do
    i=$((i-1))
    python3 ./generate_samples-$dst-$i.py
  done
  ls -lh hf/piper/mp3/$lang/vits-piper-$lang-$name-$kind
fi

mv $dst release
mv $dst_int8 release
mv $dst_fp16 release

ls -lh release/*

{% endfor %}