voice-changer/w_okada's_Voice_Changer_version_2_x.ipynb

{
  "cells": [
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      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
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      "source": [
        "<a href=\"https://colab.research.google.com/github/w-okada/voice-changer/blob/v.2/w_okada's_Voice_Changer_version_2_x.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wNCGmSXbfZRr"
      },
      "source": [
        "### w-okada's Voice Changer version 2.x | **Google Colab**\n",
        "\n",
        "## READ ME - VERY IMPORTANT\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",
        "\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://github.com/HinaBl)\\\n",
        "Enable FCPE by [TheTrustedComputer](https://github.com/TheTrustedComputer)\n",
        "\n",
        "Need help? [AI Hub Discord](https://discord.gg/aihub) » ***#help-realtime-vc***\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "W2GYWTHWmRIY",
        "cellView": "form"
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      "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",
        "\n",
        "#@markdown ---\n",
        "# @title **[Optional]** Connect to Google Drive\n",
        "# @markdown Using Google Drive will automatically save your uploaded models for later use.\n",
        "\n",
        "\n",
        "import os\n",
        "import time\n",
        "import subprocess\n",
        "import threading\n",
        "import shutil\n",
        "import base64\n",
        "import codecs\n",
        "\n",
        "# Configs\n",
        "Run_Cell=0\n",
        "Use_Drive=True #@param {type:\"boolean\"}\n",
        "\n",
        "notebook_env=0\n",
        "if os.path.exists('/content'):\n",
        "  notebook_env=1\n",
        "  print(\"Welcome to ColabMod\")\n",
        "  from google.colab import drive\n",
        "\n",
        "elif os.path.exists('/kaggle/working'):\n",
        "  notebook_env=2\n",
        "  print(\"Welcome to Kaggle Mod\")\n",
        "else:\n",
        "  notebook_env=3\n",
        "  print(\"Welcome!\")\n",
        "\n",
        "from IPython.display import clear_output, Javascript\n",
        "\n",
        "print(\"Installing libportaudio2... \",end=\"\")\n",
        "!sudo apt-get install -y libportaudio2 > /dev/null 2>&1\n",
        "!pip install  pyngrok > /dev/null 2>&1\n",
        "print(\"done.\")\n",
        "\n",
        "if notebook_env==1 and Use_Drive==True:\n",
        "  work_dir = \"/content/drive/MyDrive/vcclient\"\n",
        "  if not os.path.exists('/content/drive'):\n",
        "    drive.mount('/content/drive')\n",
        "\n",
        "  if not os.path.exists(work_dir):\n",
        "    !mkdir -p {work_dir}\n",
        "\n",
        "  print(\"Checking latest version...\")\n",
        "  if os.path.exists(f'{work_dir}/latest_hash.txt'):\n",
        "    current_version_hash = open(f'{work_dir}/latest_hash.txt').read().strip()\n",
        "  else:\n",
        "    current_version_hash = None\n",
        "\n",
        "  !curl -s -L https://huggingface.co/wok000/vcclient000_colab/resolve/main/latest_hash.txt -o latest_hash.txt\n",
        "  latest_version_hash = open('latest_hash.txt').read().strip()\n",
        "\n",
        "  print(f\"current_version_hash: {current_version_hash}\")\n",
        "  print(f\"latest_version_hash : {latest_version_hash}\")\n",
        "\n",
        "  if current_version_hash != latest_version_hash:\n",
        "    print(f\"hash not match -> download latest version\")\n",
        "\n",
        "    latest_hash_path=f'{work_dir}/latest_hash.txt'\n",
        "    !curl -L https://huggingface.co/wok000/vcclient000_colab/resolve/main/vcclient_latest_for_colab -o {work_dir}/vcclient_latest_for_colab\n",
        "    !cp latest_hash.txt {latest_hash_path}\n",
        "  else:\n",
        "    print(\"hash matched. skip download\")\n",
        "\n",
        "else:\n",
        "  work_dir = \"/content\"\n",
        "  print(\"Downloading the latest vcclient... \")\n",
        "  !curl -L https://huggingface.co/wok000/vcclient000_colab/resolve/main/vcclient_latest_for_colab -o {work_dir}/vcclient_latest_for_colab\n",
        "  print(\"done.\")\n",
        "\n",
        "%cd {work_dir}\n",
        "!chmod 0700 vcclient_latest_for_colab\n",
        "!ls -lha vcclient_latest_for_colab\n",
        "\n",
        "Run_Cell=1\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Dbx41M-zlknc",
        "cellView": "form"
      },
      "outputs": [],
      "source": [
        "PORT=8000\n",
        "\n",
        "import codecs\n",
        "\n",
        "# @title **[2]** Start ngrock\n",
        "# @markdown This cell will start the ngrok.\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' # @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: ap - Asia/Pacific (Singapore)`\n",
        "Region = \"jp - Japan (Tokyo)\" # @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 = False  # @param {type:\"boolean\"}\n",
        "\n",
        "# ---------------------------------\n",
        "# DO NOT TOUCH ANYTHING DOWN BELOW!\n",
        "# ---------------------------------\n",
        "\n",
        "# Check if Run_Cell\n",
        "if 'Run_Cell' not in globals():\n",
        "    print(\"No, Go back to the first cell and run it\")\n",
        "    exit\n",
        "if Run_Cell == 0:\n",
        "  print(\"No, Go back to the first cell and run it\")\n",
        "  exit\n",
        "\n",
        "\n",
        "from pyngrok import conf, ngrok\n",
        "MyConfig = conf.PyngrokConfig()\n",
        "MyConfig.auth_token = Token\n",
        "MyConfig.region = Region[0:2]\n",
        "conf.set_default(MyConfig);\n",
        "\n",
        "from pyngrok import ngrok\n",
        "ngrokConnection = ngrok.connect(PORT)\n",
        "public_url = ngrokConnection.public_url\n",
        "print(f\"your app's url is {public_url}\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "s7mYqKtW6VOI",
        "cellView": "form"
      },
      "outputs": [],
      "source": [
        "# @title **[3]** Start server\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 When you see the message \"running...\", please launch the application from the link above.\n",
        "!LD_LIBRARY_PATH=/usr/lib64-nvidia:/usr/lib/x86_64-linux-gnu ./vcclient_latest_for_colab cui --port {PORT} --no_cui true\n",
        "\n"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "gpuType": "T4",
      "provenance": [],
      "authorship_tag": "ABX9TyNnHjYET1tXcVALa6o6IPRp",
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
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