scripts/run_local_gradio.sh

#!/usr/bin/env bash
set -euo pipefail

ROOT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")/.." && pwd)"

PYTHON_BIN="${PYTHON_BIN:-/root/miniforge3/envs/asr_vlm/bin/python}"
MODEL_PATH="${MODEL_PATH:-/data/yumu/model/trained_model/ark_asr_td_opd}"
HOST="${HOST:-0.0.0.0}"
PORT="${PORT:-18096}"
GPU="${GPU:-1}"
LOG_FILE="${LOG_FILE:-${ROOT_DIR}/runs/gradio_space.log}"
PID_FILE="${PID_FILE:-${ROOT_DIR}/runs/gradio_space.pid}"

mkdir -p "$(dirname "${LOG_FILE}")"

if [[ -s "${PID_FILE}" ]]; then
  old_pid="$(cat "${PID_FILE}")"
  if [[ -n "${old_pid}" ]] && kill -0 "${old_pid}" 2>/dev/null; then
    kill "${old_pid}" 2>/dev/null || true
    sleep 1
  fi
fi

cd "${ROOT_DIR}"

CUDA_VISIBLE_DEVICES="${GPU}" \
ARK_ASR_MODEL_ID="${MODEL_PATH}" \
GRADIO_SERVER_NAME="${HOST}" \
GRADIO_SERVER_PORT="${PORT}" \
  setsid "${PYTHON_BIN}" app.py > "${LOG_FILE}" 2>&1 < /dev/null &

echo "$!" > "${PID_FILE}"
echo "Started local Gradio: pid=$(cat "${PID_FILE}") url=http://${HOST}:${PORT}"
echo "Model: ${MODEL_PATH}"
echo "Log: ${LOG_FILE}"