{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import gradio as gr\n",
    "import re\n",
    "import os\n",
    "import torch\n",
    "\n",
    "#Speech to text\n",
    "import whisper\n",
    "\n",
    "#QA\n",
    "from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline\n",
    "\n",
    "#TTS\n",
    "import tempfile\n",
    "from TTS.utils.manage import ModelManager\n",
    "from TTS.utils.synthesizer import Synthesizer\n",
    "from typing import Optional"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "device = \"cuda\" if torch.cuda.is_available() else \"cpu\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    }
   ],
   "source": [
    "a = 0 if device == \"cuda\" else -1\n",
    "print(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.10.6 ('whisper')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.6"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "bc5e005fe71b6b35d46ee1b846dc8ef412bb84e43eeae8b2cf038f4cf6818597"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}