{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os, librosa\n",
    "\n",
    "top_db=20\n",
    "def remove_silence(input_file, output_file, top_db=top_db):\n",
    "\n",
    "    y, sr = sf.read(input_file)\n",
    "    intervals = librosa.effects.split(y, top_db=top_db)\n",
    "    if len(intervals) == 0:\n",
    "        with open('output.txt', 'a') as f:\n",
    "            f.write(input_file, file=f)\n",
    "    else:\n",
    "        y_trimmed = []\n",
    "        for start, end in intervals:\n",
    "            y_trimmed.extend(y[start:end])\n",
    "        if not os.path.exists(output_file):    \n",
    "            sf.write(output_file, y_trimmed, sr)\n",
    "\n",
    "def process_directory(input_dir, output_dir, top_db=top_db):\n",
    "    if not os.path.exists(output_dir):\n",
    "        os.makedirs(output_dir)\n",
    "\n",
    "    for filename in os.listdir(input_dir):\n",
    "        if filename.endswith(\".mp3\"):\n",
    "            input_file = os.path.join(input_dir, filename)\n",
    "            output_file = os.path.join(output_dir, filename)\n",
    "            remove_silence(input_file, output_file, top_db)\n",
    "    \n",
    "input_dir = folder_path\n",
    "output_dir = folder_path\n",
    "process_directory(folder_path, (folder_path + \"_trimmed/\"))"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}