{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "gpuType": "T4",
      "authorship_tag": "ABX9TyOyCiCt4X4oZWyqzQ2fAafX",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/rmcpantoja/piper/blob/master/notebooks/piper_model_exporter.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# [Piper](https://github.com/rhasspy/piper) model exporter\n",
        "\n",
        "Notebook created by [rmcpantoja](http://github.com/rmcpantoja)"
      ],
      "metadata": {
        "id": "EOL-kjplZYEU"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "FfMKr8v2RVOm"
      },
      "outputs": [],
      "source": [
        "#@title Install software\n",
        "#@markdown **Note: Please restart the runtime environment if prompted, and then continue to the next cell.**\n",
        "!git clone https://github.com/rhasspy/piper\n",
        "%cd /content/piper/src/python\n",
        "!pip install --upgrade pip\n",
        "!pip install --upgrade wheel setuptools\n",
        "!pip install cython>=0.29.0 espeak-phonemizer>=1.1.0 librosa>=0.9.2 numpy>=1.19.0 pytorch-lightning~=1.7.0 torch~=1.11.0\n",
        "!pip install onnx onnxruntime-gpu\n",
        "!bash build_monotonic_align.sh\n",
        "!apt-get install espeak-ng\n",
        "!pip install torchtext==0.12.0"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Voice package generation section\n",
        "%cd /content/piper/src/python\n",
        "import os\n",
        "#@markdown #### Download:\n",
        "#@markdown **Google Drive model ID:**\n",
        "model_id = \"\" #@param {type:\"string\"}\n",
        "#@markdown **Config.json Google Drive ID**\n",
        "config_id = \"1-7qJ-Aw8OmqKgxxG8o_onU_Rwn0xfIOj\" #@param {type:\"string\"}\n",
        "#@markdown ---\n",
        "\n",
        "#@markdown #### Creation process:\n",
        "language = \"es\" #@param [\"en-us\", \"es\", \"fr\"]\n",
        "voice_name = \"Dabe\" #@param {type:\"string\"}\n",
        "voice_name = voice_name.lower()\n",
        "quality = \"medium\" #@param [\"high\", \"low\", \"medium\", \"x-low\"]\n",
        "export_voice_name = f\"{language}-{voice_name}-{quality}\"\n",
        "export_voice_path = \"/content/project/voice-\"+export_voice_name\n",
        "packages_path = \"/content/project/packages\"\n",
        "if not os.path.exists(export_voice_path):\n",
        "  os.makedirs(export_voice_path)\n",
        "if not os.path.exists(packages_path):\n",
        "  os.makedirs(packages_path)\n",
        "!gdown \"{model_id}\" -O /content/project/model.ckpt\n",
        "!gdown \"{config_id}\" -O \"{export_voice_path}/{export_voice_name}.onnx.json\"\n",
        "!python -m piper_train.export_onnx \"/content/project/model.ckpt\" \"{export_voice_path}/{export_voice_name}.onnx\"\n",
        "print(\"compressing...\")\n",
        "%cd /content/project\n",
        "!tar -czvf \"{packages_path}/voice-{export_voice_name}.tar.gz\" \"voice-{export_voice_name}\""
      ],
      "metadata": {
        "cellView": "form",
        "id": "PqcoBb26V5xA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Download generated voice package\n",
        "from google.colab import files\n",
        "files.download(f\"{packages_path}/voice-{export_voice_name}.tar.gz\")"
      ],
      "metadata": {
        "cellView": "form",
        "id": "Hu3V9CJeWc4Y"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}