{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import whisper\n",
    "from tts_stream import TTSstream"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sounddevice as sd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import torch\n",
    "\n",
    "# force matplotlib gui backend\n",
    "import matplotlib\n",
    "matplotlib.use('TkAgg')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"Loading whisper model...\")\n",
    "\n",
    "if torch.cuda.is_available():\n",
    "    print(\"using CUDA\")\n",
    "    device = \"cuda\"\n",
    "else:\n",
    "    print(\"using CPU\")\n",
    "    device = \"cpu\"\n",
    "\n",
    "model = whisper.load_model(\"medium\").to(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tts = TTSstream(speaker_wav=\"voices/lector.wav\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# optional for changing speaker to some another one\n",
    "tts.change_speaker(\"voices/speaker_name.wav\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# record 10 seconds of audio with sounddevice\n",
    "print(\"Recording audio...\")\n",
    "\n",
    "fs = 16000\n",
    "duration = 4\n",
    "frames = sd.rec(int(duration * fs), samplerate=fs, channels=1)\n",
    "sd.wait()\n",
    "\n",
    "\n",
    "\n",
    "frames = frames[:, 0]\n",
    "#frames /= np.max(np.abs(frames))\n",
    "\n",
    "\n",
    "## plot audio\n",
    "#plt.plot(frames)\n",
    "## set plot range to -1, 1\n",
    "#plt.ylim(-1, 1)\n",
    "#plt.show()\n",
    "\n",
    "# recognize text from audio\n",
    "print(\"Recognizing text...\")\n",
    "\n",
    "result = model.transcribe(frames, language=\"pl\", fp16=False)\n",
    "whisper_text = result[\"text\"]\n",
    "print(whisper_text)\n",
    "\n",
    "# synthesize text to audio\n",
    "print(\"Synthesizing audio...\")\n",
    "tts.tts_speak(whisper_text)"
   ]
  }
 ],
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