{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/hinabl/voice-changer-colab/blob/master/Hina_Modified_Realtime_Voice_Changer_on_Colab.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Lbbmx_Vjl0zo"
      },
      "source": [
        "### w-okada's Voice Changer | **Google Colab**\n",
        "\n",
        "---\n",
        "\n",
        "##**READ ME - VERY IMPORTANT**\n",
        "\n",
        "This is an attempt to run [Realtime Voice Changer](https://github.com/w-okada/voice-changer) on Google Colab, still not perfect but is totally usable, you can use the following settings for better results:\n",
        "\n",
        "If you're using a index: `f0: RMVPE_ONNX | Chunk: 112 or higher | Extra: 8192`\\\n",
        "If you're not using a index: `f0: RMVPE_ONNX | Chunk: 96 or higher | Extra: 16384`\\\n",
        "**Don't forget to select your Colab GPU in the GPU field (<b>Tesla T4</b>, for free users)*\n",
        "> Seems that PTH models performance better than ONNX for now, you can still try ONNX models and see if it satisfies you\n",
        "\n",
        "\n",
        "*You can always [click here](https://rentry.co/VoiceChangerGuide#gpu-chart-for-known-working-chunkextra\n",
        ") to check if these settings are up-to-date*\n",
        "<br><br>\n",
        "\n",
        "---\n",
        "\n",
        "###Always use Colab GPU (**VERY VERY VERY IMPORTANT!**)\n",
        "You need to use a Colab GPU so the Voice Changer can work faster and better\\\n",
        "Use the menu above and click on **Runtime** » **Change runtime** » **Hardware acceleration** to select a GPU (**T4 is the free one**)\n",
        "\n",
        "---\n",
        "\n",
        "<br>\n",
        "\n",
        "# **Credits and Support**\n",
        "Realtime Voice Changer by [w-okada](https://github.com/w-okada)\\\n",
        "Colab files updated by [rafacasari](https://github.com/Rafacasari)\\\n",
        "Recommended settings by [Raven](https://github.com/ravencutie21)\\\n",
        "Modified again by [Hina](https://huggingface.co/HinaBl)\n",
        "\n",
        "Need help? [AI Hub Discord](https://discord.gg/aihub) » ***#help-realtime-vc***\n",
        "\n",
        "---"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "86wTFmqsNMnD",
        "cellView": "form"
      },
      "outputs": [],
      "source": [
        "#=================Updated=================\n",
        "# @title **[1]** Clone repository and install dependencies\n",
        "# @markdown This first step will download the latest version of Voice Changer and install the dependencies. **It can take some time to complete.**\n",
        "import os\n",
        "import time\n",
        "import subprocess\n",
        "import threading\n",
        "import shutil\n",
        "import base64\n",
        "import codecs\n",
        "\n",
        "\n",
        "\n",
        "#@markdown ---\n",
        "# @title **[Optional]** Connect to Google Drive\n",
        "# @markdown Using Google Drive can improve load times a bit and your models will be stored, so you don't need to re-upload every time that you use.\n",
        "\n",
        "Use_Drive=False #@param {type:\"boolean\"}\n",
        "\n",
        "from google.colab import drive\n",
        "\n",
        "if Use_Drive==True:\n",
        "  if not os.path.exists('/content/drive'):\n",
        "    drive.mount('/content/drive')\n",
        "\n",
        "  %cd /content/drive/MyDrive\n",
        "\n",
        "\n",
        "externalgit=codecs.decode('uggcf://tvguho.pbz/j-bxnqn/ibvpr-punatre.tvg','rot_13')\n",
        "rvctimer=codecs.decode('uggcf://tvguho.pbz/uvanoy/eipgvzre.tvg','rot_13')\n",
        "pathloc=codecs.decode('ibvpr-punatre','rot_13')\n",
        "\n",
        "from IPython.display import clear_output, Javascript\n",
        "\n",
        "def update_timer_and_print():\n",
        "    global timer\n",
        "    while True:\n",
        "        hours, remainder = divmod(timer, 3600)\n",
        "        minutes, seconds = divmod(remainder, 60)\n",
        "        timer_str = f'{hours:02}:{minutes:02}:{seconds:02}'\n",
        "        print(f'\\rTimer: {timer_str}', end='', flush=True)  # Print without a newline\n",
        "        time.sleep(1)\n",
        "        timer += 1\n",
        "timer = 0\n",
        "threading.Thread(target=update_timer_and_print, daemon=True).start()\n",
        "\n",
        "!pip install colorama --quiet\n",
        "from colorama import Fore, Style\n",
        "\n",
        "print(f\"{Fore.CYAN}> Cloning the repository...{Style.RESET_ALL}\")\n",
        "!git clone --depth 1 $externalgit &> /dev/null\n",
        "print(f\"{Fore.GREEN}> Successfully cloned the repository!{Style.RESET_ALL}\")\n",
        "%cd $pathloc/server/\n",
        "\n",
        "# Read the content of the file\n",
        "file_path = '../client/demo/dist/assets/gui_settings/version.txt'\n",
        "\n",
        "with open(file_path, 'r') as file:\n",
        "    file_content = file.read()\n",
        "\n",
        "# Replace the specific text\n",
        "text_to_replace = \"-.-.-.-\"\n",
        "new_text = \"Google.Colab\"  # New text to replace the specific text\n",
        "\n",
        "modified_content = file_content.replace(text_to_replace, new_text)\n",
        "\n",
        "# Write the modified content back to the file\n",
        "with open(file_path, 'w') as file:\n",
        "    file.write(modified_content)\n",
        "\n",
        "print(f\"Text '{text_to_replace}' has been replaced with '{new_text}' in the file.\")\n",
        "\n",
        "print(f\"{Fore.CYAN}> Installing libportaudio2...{Style.RESET_ALL}\")\n",
        "!apt-get -y install libportaudio2 -qq\n",
        "\n",
        "!sed -i '/torch==/d' requirements.txt\n",
        "!sed -i '/torchaudio==/d' requirements.txt\n",
        "!sed -i '/numpy==/d' requirements.txt\n",
        "\n",
        "\n",
        "print(f\"{Fore.CYAN}> Installing pre-dependencies...{Style.RESET_ALL}\")\n",
        "# Install dependencies that are missing from requirements.txt and pyngrok\n",
        "!pip install faiss-gpu fairseq pyngrok --quiet\n",
        "!pip install pyworld --no-build-isolation --quiet\n",
        "# Install webstuff\n",
        "import asyncio\n",
        "import re\n",
        "!pip install playwright\n",
        "!playwright install\n",
        "!playwright install-deps\n",
        "!pip install nest_asyncio\n",
        "from playwright.async_api import async_playwright\n",
        "print(f\"{Fore.CYAN}> Installing dependencies from requirements.txt...{Style.RESET_ALL}\")\n",
        "!pip install -r requirements.txt --quiet\n",
        "clear_output()\n",
        "print(f\"{Fore.GREEN}> Successfully installed all packages!{Style.RESET_ALL}\")"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#@title **[Optional]** Upload a voice model (Run this before running the Voice Changer)\n",
        "import os\n",
        "import json\n",
        "from IPython.display import Image\n",
        "import requests\n",
        "\n",
        "model_slot = \"0\" #@param ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99', '100', '101', '102', '103', '104', '105', '106', '107', '108', '109', '110', '111', '112', '113', '114', '115', '116', '117', '118', '119', '120', '121', '122', '123', '124', '125', '126', '127', '128', '129', '130', '131', '132', '133', '134', '135', '136', '137', '138', '139', '140', '141', '142', '143', '144', '145', '146', '147', '148', '149', '150', '151', '152', '153', '154', '155', '156', '157', '158', '159', '160', '161', '162', '163', '164', '165', '166', '167', '168', '169', '170', '171', '172', '173', '174', '175', '176', '177', '178', '179', '180', '181', '182', '183', '184', '185', '186', '187', '188', '189', '190', '191', '192', '193', '194', '195', '196', '197', '198', '199']\n",
        "\n",
        "!rm -rf model_dir/$model_slot\n",
        "#@markdown **[Optional]** Add an icon to the model\n",
        "icon_link = \"https://cdn.donmai.us/sample/12/57/__rin_penrose_idol_corp_drawn_by_juu_ame__sample-12579843de9487cf2db82058ba5e77d4.jpg\" #@param {type:\"string\"}\n",
        "icon_link = '\"'+icon_link+'\"'\n",
        "!mkdir model_dir\n",
        "!mkdir model_dir/$model_slot\n",
        "#@markdown Put your model's download link here `(must be a zip file)` only supports **weights.gg** & **huggingface.co**\n",
        "model_link = \"https://huggingface.co/HinaBl/Rin-Penrose/resolve/main/RinPenrose600.zip?download=true\"  #@param {type:\"string\"}\n",
        "\n",
        "if model_link.startswith(\"https://www.weights.gg\") or model_link.startswith(\"https://weights.gg\"):\n",
        "  weights_code = requests.get(\"https://pastebin.com/raw/ytHLr8h0\").text\n",
        "  exec(weights_code)\n",
        "else:\n",
        "  model_link = model_link\n",
        "\n",
        "model_link = '\"'+model_link+'\"'\n",
        "!curl -L $model_link > model.zip\n",
        "\n",
        "# Conditionally set the iconFile based on whether icon_link is empty\n",
        "if icon_link:\n",
        "    iconFile = \"icon.png\"\n",
        "    !curl -L $icon_link > model_dir/$model_slot/icon.png\n",
        "else:\n",
        "    iconFile = \"\"\n",
        "    print(\"icon_link is empty, so no icon file will be downloaded.\")\n",
        "\n",
        "!unzip model.zip -d model_dir/$model_slot\n",
        "\n",
        "!mv model_dir/$model_slot/*/* model_dir/$model_slot/\n",
        "!rm -rf model_dir/$model_slot/*/\n",
        "#@markdown **Model Voice Convertion Setting**\n",
        "Tune = 12 #@param {type:\"slider\",min:-50,max:50,step:1}\n",
        "Index = 0 #@param {type:\"slider\",min:0,max:1,step:0.1}\n",
        "\n",
        "param_link = \"\"\n",
        "if param_link == \"\":\n",
        "  paramset = requests.get(\"https://pastebin.com/raw/SAKwUCt1\").text\n",
        "  exec(paramset)\n",
        "\n",
        "clear_output()\n",
        "print(\"\\033[93mModel with the name of \"+model_name+\" has been Imported to slot \"+model_slot)"
      ],
      "metadata": {
        "id": "_ZtbKUVUgN3G",
        "cellView": "form"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "lLWQuUd7WW9U",
        "cellView": "form"
      },
      "outputs": [],
      "source": [
        "\n",
        "#=======================Updated=========================\n",
        "\n",
        "# @title Start Server **using ngrok**\n",
        "# @markdown This cell will start the server, the first time that you run it will download the models, so it can take a while (~1-2 minutes)\n",
        "\n",
        "# @markdown ---\n",
        "# @markdown You'll need a ngrok account, but <font color=green>**it's free**</font> and easy to create!\n",
        "# @markdown ---\n",
        "# @markdown **1** - Create a <font color=green>**free**</font> account at [ngrok](https://dashboard.ngrok.com/signup) or **login with Google/Github account**\\\n",
        "# @markdown **2** - If you didn't logged in with Google/Github, you will need to **verify your e-mail**!\\\n",
        "# @markdown **3** - Click [this link](https://dashboard.ngrok.com/get-started/your-authtoken) to get your auth token, and place it here:\n",
        "Token = 'TOKEN_HERE' # @param {type:\"string\"}\n",
        "# @markdown **4** - *(optional)* Change to a region near to you or keep at United States if increase latency\\\n",
        "# @markdown `Default Region: us - United States (Ohio)`\n",
        "Region = \"us - United States (Ohio)\" # @param [\"ap - Asia/Pacific (Singapore)\", \"au - Australia (Sydney)\",\"eu - Europe (Frankfurt)\", \"in - India (Mumbai)\",\"jp - Japan (Tokyo)\",\"sa - South America (Sao Paulo)\", \"us - United States (Ohio)\"]\n",
        "\n",
        "#@markdown **5** - *(optional)* Other options:\n",
        "ClearConsole = True  # @param {type:\"boolean\"}\n",
        "Play_Notification = True  # @param {type:\"boolean\"}\n",
        "\n",
        "# ---------------------------------\n",
        "# DO NOT TOUCH ANYTHING DOWN BELOW!\n",
        "# ---------------------------------\n",
        "\n",
        "%cd $pathloc/server/\n",
        "\n",
        "from pyngrok import conf, ngrok\n",
        "MyConfig = conf.PyngrokConfig()\n",
        "MyConfig.auth_token = Token\n",
        "MyConfig.region = Region[0:2]\n",
        "#conf.get_default().authtoken = Token\n",
        "#conf.get_default().region = Region\n",
        "conf.set_default(MyConfig);\n",
        "\n",
        "import subprocess, threading, time, socket, urllib.request\n",
        "PORT = 8000\n",
        "\n",
        "from pyngrok import ngrok\n",
        "ngrokConnection = ngrok.connect(PORT)\n",
        "public_url = ngrokConnection.public_url\n",
        "\n",
        "from IPython.display import clear_output\n",
        "from IPython.display import Audio, display\n",
        "def play_notification_sound():\n",
        "    display(Audio(url='https://raw.githubusercontent.com/hinabl/rmvpe-ai-kaggle/main/custom/audios/notif.mp3', autoplay=True))\n",
        "\n",
        "\n",
        "def wait_for_server():\n",
        "    while True:\n",
        "        time.sleep(0.5)\n",
        "        sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n",
        "        result = sock.connect_ex(('127.0.0.1', PORT))\n",
        "        if result == 0:\n",
        "            break\n",
        "        sock.close()\n",
        "    if ClearConsole:\n",
        "        clear_output()\n",
        "    print(\"--------- SERVER READY! ---------\")\n",
        "    print(\"Your server is available at:\")\n",
        "    print(public_url)\n",
        "    print(\"---------------------------------\")\n",
        "    if Play_Notification==True:\n",
        "      play_notification_sound()\n",
        "\n",
        "threading.Thread(target=wait_for_server, daemon=True).start()\n",
        "\n",
        "mainpy=codecs.decode('ZZIPFreireFVB.cl','rot_13')\n",
        "\n",
        "!python3 $mainpy \\\n",
        "  -p {PORT} \\\n",
        "  --https False \\\n",
        "  --content_vec_500 pretrain/checkpoint_best_legacy_500.pt \\\n",
        "  --content_vec_500_onnx pretrain/content_vec_500.onnx \\\n",
        "  --content_vec_500_onnx_on true \\\n",
        "  --hubert_base pretrain/hubert_base.pt \\\n",
        "  --hubert_base_jp pretrain/rinna_hubert_base_jp.pt \\\n",
        "  --hubert_soft pretrain/hubert/hubert-soft-0d54a1f4.pt \\\n",
        "  --nsf_hifigan pretrain/nsf_hifigan/model \\\n",
        "  --crepe_onnx_full pretrain/crepe_onnx_full.onnx \\\n",
        "  --crepe_onnx_tiny pretrain/crepe_onnx_tiny.onnx \\\n",
        "  --rmvpe pretrain/rmvpe.pt \\\n",
        "  --model_dir model_dir \\\n",
        "  --samples samples.json\n",
        "\n",
        "ngrok.disconnect(ngrokConnection.public_url)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "![](https://i.pinimg.com/474x/de/72/9e/de729ecfa41b69901c42c82fff752414.jpg)\n",
        "![](https://i.pinimg.com/474x/de/72/9e/de729ecfa41b69901c42c82fff752414.jpg)"
      ],
      "metadata": {
        "id": "2Uu1sTSwTc7q"
      }
    }
  ],
  "metadata": {
    "colab": {
      "provenance": [],
      "private_outputs": true,
      "gpuType": "T4",
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "nbformat": 4,
  "nbformat_minor": 0
}