#!/bin/bash

set -e

CKPT_DIR="/piper/lightning_logs"
CKPT=""

if compgen -G "${CKPT_DIR}/version_*/checkpoints/*.ckpt" > /dev/null; then
  CKPT=$(ls -t ${CKPT_DIR}/version_*/checkpoints/*.ckpt | head -n1)
  RESUME_ARG="--trainer.resume_from_checkpoint $CKPT"

  echo "Resuming: $CKPT"
fi

exec python3 -m piper.train fit \
  --data.voice_name pt_BR-well \
  --data.espeak_voice pt-br \
  --data.audio_dir /data/wav/ \
  --data.batch_size 16 \
  --data.cache_dir /data/.cache/ \
  --data.config_path /data/config.json \
  --data.csv_path /data/metadata.csv \
  --model.sample_rate 22050 \
  --trainer.check_val_every_n_epoch 1 \
  --trainer.max_epochs 10000 \
  $RESUME_ARG