{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/w-okada/voice-changer/blob/dev/SoftVcDemo.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Voice Changer (soft-vc)\n",
        "---\n",
        "\n",
        "This note is a demo version of Voice Changer for soft-vc. This demo is customized so as to  run on Colab.\n",
        "\n",
        "The full version is an application that runs on Docker on a local PC.\n",
        "\n",
        "In general, the official version can convert audio smoothly with less time lag.\n",
        "\n",
        "Detailed usage instructions can be found in [this repository](https://github.com/w-okada/voice-changer)."
      ],
      "metadata": {
        "id": "1ZGMhH_TqK-g"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Check GPU\n",
        "GPU is required for soft-vc. Confirm GPU is assigned. "
      ],
      "metadata": {
        "id": "s4nKpd5ArRky"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# (1) Confirm GPU \n",
        "!nvidia-smi"
      ],
      "metadata": {
        "id": "cGXhQNzhrQxO",
        "outputId": "19f8cd58-28ff-4e02-86fa-8a2484dabf6a",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Sun Sep 18 22:18:45 2022       \n",
            "+-----------------------------------------------------------------------------+\n",
            "| NVIDIA-SMI 460.32.03    Driver Version: 460.32.03    CUDA Version: 11.2     |\n",
            "|-------------------------------+----------------------+----------------------+\n",
            "| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\n",
            "| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |\n",
            "|                               |                      |               MIG M. |\n",
            "|===============================+======================+======================|\n",
            "|   0  Tesla T4            Off  | 00000000:00:04.0 Off |                    0 |\n",
            "| N/A   35C    P8     9W /  70W |      0MiB / 15109MiB |      0%      Default |\n",
            "|                               |                      |                  N/A |\n",
            "+-------------------------------+----------------------+----------------------+\n",
            "                                                                               \n",
            "+-----------------------------------------------------------------------------+\n",
            "| Processes:                                                                  |\n",
            "|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |\n",
            "|        ID   ID                                                   Usage      |\n",
            "|=============================================================================|\n",
            "|  No running processes found                                                 |\n",
            "+-----------------------------------------------------------------------------+\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Install and import modules \n",
        "Install required modules.\n"
      ],
      "metadata": {
        "id": "RN5bYStxr5eI"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# (2-1) Install Modules\n",
        "!pip install fastapi\n",
        "!pip install uvicorn\n"
      ],
      "metadata": {
        "id": "od54JTHBrysO",
        "outputId": "267858d4-94f2-4606-e10c-d2b872248337",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting fastapi\n",
            "  Downloading fastapi-0.85.0-py3-none-any.whl (55 kB)\n",
            "\u001b[K     |████████████████████████████████| 55 kB 3.0 MB/s \n",
            "\u001b[?25hRequirement already satisfied: pydantic!=1.7,!=1.7.1,!=1.7.2,!=1.7.3,!=1.8,!=1.8.1,<2.0.0,>=1.6.2 in /usr/local/lib/python3.7/dist-packages (from fastapi) (1.9.2)\n",
            "Collecting starlette==0.20.4\n",
            "  Downloading starlette-0.20.4-py3-none-any.whl (63 kB)\n",
            "\u001b[K     |████████████████████████████████| 63 kB 2.5 MB/s \n",
            "\u001b[?25hRequirement already satisfied: typing-extensions>=3.10.0 in /usr/local/lib/python3.7/dist-packages (from starlette==0.20.4->fastapi) (4.1.1)\n",
            "Collecting anyio<5,>=3.4.0\n",
            "  Downloading anyio-3.6.1-py3-none-any.whl (80 kB)\n",
            "\u001b[K     |████████████████████████████████| 80 kB 10.8 MB/s \n",
            "\u001b[?25hRequirement already satisfied: idna>=2.8 in /usr/local/lib/python3.7/dist-packages (from anyio<5,>=3.4.0->starlette==0.20.4->fastapi) (2.10)\n",
            "Collecting sniffio>=1.1\n",
            "  Downloading sniffio-1.3.0-py3-none-any.whl (10 kB)\n",
            "Installing collected packages: sniffio, anyio, starlette, fastapi\n",
            "Successfully installed anyio-3.6.1 fastapi-0.85.0 sniffio-1.3.0 starlette-0.20.4\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting uvicorn\n",
            "  Downloading uvicorn-0.18.3-py3-none-any.whl (57 kB)\n",
            "\u001b[K     |████████████████████████████████| 57 kB 3.8 MB/s \n",
            "\u001b[?25hCollecting h11>=0.8\n",
            "  Downloading h11-0.13.0-py3-none-any.whl (58 kB)\n",
            "\u001b[K     |████████████████████████████████| 58 kB 6.3 MB/s \n",
            "\u001b[?25hRequirement already satisfied: click>=7.0 in /usr/local/lib/python3.7/dist-packages (from uvicorn) (7.1.2)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from uvicorn) (4.1.1)\n",
            "Installing collected packages: h11, uvicorn\n",
            "Successfully installed h11-0.13.0 uvicorn-0.18.3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# (2-2) Import Modules\n",
        "import torch"
      ],
      "metadata": {
        "id": "eCb2j68vsqxB"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Load models\n",
        "soft-vc needs 3 models."
      ],
      "metadata": {
        "id": "wtPl3S3Xsfmp"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "WO8XzrFMZGoj",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 324,
          "referenced_widgets": [
            "fad16a0235aa4e5bb2b8de5fcb183243",
            "bc5c75fcb2e44548ab5aa978eeb9b8a6",
            "62c8e5c4546c4c17ad4125ddb0907d63",
            "52fed3e4db2747c2b70828a73073e909",
            "0fc41e46c8fa4853b88a2af2345be149",
            "ea2165bce13c4823bf8d9d77d4b63f49",
            "8b51c58c91d3418c8d6dc619af78dafa",
            "2f511db422d5487fab18d16a8b61b585",
            "4c8d6b8d405e4ecf841ff782fd7a34cb",
            "96954daa268a471cabedd434935aac23",
            "de6bcd48cc164bcd99825a250b70cb53",
            "0239844e12e64b9981e9e78dcf57d0ef",
            "2bf83e0402c2485b998b35ef783b3548",
            "f83daf5b13204f0a9b9dc1ee0271e6b0",
            "6d46c9a7d2714add9164ba6487739b57",
            "a7cf75ed1bd94a238253fa071d5b3150",
            "a50e5de44a474d6c863258fbd14d0401",
            "c82e786218ed47ab80ae5173b690fffe",
            "28f5c855824b4a0eb899b196a2356b45",
            "7956a1d6392b4b6fab81e098e54dfefc",
            "19a1448c941249eb81d0d9bcdb3c6739",
            "6f41807bbd764265879de3b83d247ad4",
            "1b89d116460746cb90858d77ff65cffa",
            "6d7b8dd5f7cc41329cfc590141f3927a",
            "878fc80433d84cb98b607629c8fecf08",
            "cc841ac2ac954db78989389970890582",
            "bb701d96133442c6b3aa70ddc585d01c",
            "e38d4376820c40de97d97c78b119cd4f",
            "59323fae26814e03bad57866d75b76f1",
            "b5b11bfc014c4a76a421012fb096e8e5",
            "5da63d520023436aa71101b5561a5744",
            "3040cd18ddae4853801274c3f10d17b0",
            "e533525617774461991000eb56899c0b"
          ]
        },
        "outputId": "acd54070-6987-466f-d3ae-11f1ae22fbad"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/torch/hub.py:267: UserWarning: You are about to download and run code from an untrusted repository. In a future release, this won't be allowed. To add the repository to your trusted list, change the command to {calling_fn}(..., trust_repo=False) and a command prompt will appear asking for an explicit confirmation of trust, or load(..., trust_repo=True), which will assume that the prompt is to be answered with 'yes'. You can also use load(..., trust_repo='check') which will only prompt for confirmation if the repo is not already trusted. This will eventually be the default behaviour\n",
            "  \"You are about to download and run code from an untrusted repository. In a future release, this won't \"\n",
            "Downloading: \"https://github.com/bshall/hubert/zipball/main\" to /root/.cache/torch/hub/main.zip\n",
            "Downloading: \"https://github.com/bshall/hubert/releases/download/v0.1/hubert-soft-0d54a1f4.pt\" to /root/.cache/torch/hub/checkpoints/hubert-soft-0d54a1f4.pt\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0.00/361M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "fad16a0235aa4e5bb2b8de5fcb183243"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/torch/hub.py:267: UserWarning: You are about to download and run code from an untrusted repository. In a future release, this won't be allowed. To add the repository to your trusted list, change the command to {calling_fn}(..., trust_repo=False) and a command prompt will appear asking for an explicit confirmation of trust, or load(..., trust_repo=True), which will assume that the prompt is to be answered with 'yes'. You can also use load(..., trust_repo='check') which will only prompt for confirmation if the repo is not already trusted. This will eventually be the default behaviour\n",
            "  \"You are about to download and run code from an untrusted repository. In a future release, this won't \"\n",
            "Downloading: \"https://github.com/bshall/acoustic-model/zipball/main\" to /root/.cache/torch/hub/main.zip\n",
            "Downloading: \"https://github.com/bshall/acoustic-model/releases/download/v0.1/hubert-soft-0321fd7e.pt\" to /root/.cache/torch/hub/checkpoints/hubert-soft-0321fd7e.pt\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0.00/71.8M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "0239844e12e64b9981e9e78dcf57d0ef"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Downloading: \"https://github.com/bshall/hifigan/zipball/main\" to /root/.cache/torch/hub/main.zip\n",
            "Downloading: \"https://github.com/bshall/hifigan/releases/download/v0.1/hifigan-hubert-discrete-bbad3043.pt\" to /root/.cache/torch/hub/checkpoints/hifigan-hubert-discrete-bbad3043.pt\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0.00/54.9M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "1b89d116460746cb90858d77ff65cffa"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Removing weight norm...\n"
          ]
        }
      ],
      "source": [
        "# (3) Load modules\n",
        "hubert = torch.hub.load(\"bshall/hubert:main\", \"hubert_soft\").cuda()\n",
        "acoustic = torch.hub.load(\"bshall/acoustic-model:main\", \"hubert_soft\").cuda()\n",
        "hifigan = torch.hub.load(\"bshall/hifigan:main\", \"hifigan_hubert_soft\").cuda()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Clone repository and configure\n"
      ],
      "metadata": {
        "id": "N0_ELMyls0Yl"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lzo_ZWmAjaby",
        "outputId": "425649e6-8c52-4142-869f-079d99bf958c"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'voice-changer'...\n",
            "remote: Enumerating objects: 101, done.\u001b[K\n",
            "remote: Counting objects: 100% (101/101), done.\u001b[K\n",
            "remote: Compressing objects: 100% (87/87), done.\u001b[K\n",
            "remote: Total 101 (delta 12), reused 70 (delta 6), pack-reused 0\u001b[K\n",
            "Receiving objects: 100% (101/101), 18.97 MiB | 21.06 MiB/s, done.\n",
            "Resolving deltas: 100% (12/12), done.\n",
            "/content/voice-changer/demo\n"
          ]
        }
      ],
      "source": [
        "# (4-1) Clone Repository\n",
        "!git clone --depth 1 https://github.com/w-okada/voice-changer.git\n",
        "%cd voice-changer/demo/"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "id": "8-z9j4e_j-Wb",
        "outputId": "a4855bb5-15d6-44f6-9201-8a78ea2f2309",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{\n",
            "    \"app_title\": \"voice-changer[soft-vc]\",\n",
            "    \"majar_mode\": \"colab\",\n",
            "    \"voice_changer_server_url\": \"/test\",\n",
            "    \"sample_rate\": 48000,\n",
            "    \"buffer_size\": 1024,\n",
            "    \"prefix_chunk_size\": 60,\n",
            "    \"chunk_size\": 60,\n",
            "    \"speaker_ids\": [999, 107],\n",
            "    \"speaker_names\": [\"---\", \"user\"],\n",
            "    \"src_id\": 107,\n",
            "    \"dst_id\": 999,\n",
            "    \"vf_enable\": true,\n",
            "    \"voice_changer_mode\": \"realtime\",\n",
            "    \"gpu\": 0,\n",
            "    \"available_gpus\": [0],\n",
            "    \"avatar\": {\n",
            "        \"enable_avatar\": true,\n",
            "        \"motion_capture_face\": true,\n",
            "        \"motion_capture_upperbody\": true,\n",
            "        \"lip_overwrite_with_voice\": true,\n",
            "        \"avatar_url\": \"./assets/vrm/zundamon/zundamon.vrm\",\n",
            "        \"backgournd_image_url\": \"./assets/images/bg_natural_sougen.jpg\",\n",
            "        \"background_color\": \"#0000dd\",\n",
            "        \"chroma_key\": \"#0000dd\",\n",
            "        \"avatar_canvas_size\": [1280, 720],\n",
            "        \"screen_canvas_size\": [1280, 720]\n",
            "    },\n",
            "    \"advance\": {\n",
            "        \"avatar_draw_skip_rate\": 3,\n",
            "        \"screen_draw_skip_rate\": 3,\n",
            "        \"visualizer_draw_skip_rate\": 3,\n",
            "        \"cross_fade_lower_value\": 0.1,\n",
            "        \"cross_fade_offset_rate\": 0.3,\n",
            "        \"cross_fade_end_rate\": 0.6,\n",
            "        \"cross_fade_type\": 2\n",
            "    }\n",
            "}\n"
          ]
        }
      ],
      "source": [
        "# (4-2) settle the config file\n",
        "!cp ../template/setting_softvc_colab.json ../frontend/dist/assets/setting.json\n",
        "!cat ../frontend/dist/assets/setting.json\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Invoke server\n",
        "\n",
        "Invoke server with below (5-1)cell. And wait for ready with the command in (5-2)cell.\n",
        "\n",
        "Please wait for a while, then you can see the messsage.\n",
        "`Application startup complete.`."
      ],
      "metadata": {
        "id": "hZAE_4gYtGOz"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "id": "-iPiSzvAepCl"
      },
      "outputs": [],
      "source": [
        "# (5-1) Invoke server\n",
        "PORT=8092\n",
        "get_ipython().system_raw(f'python3 SoftVcServerFastAPI.py {PORT} colab >foo 2>&1 &')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IiWSwDjQidc7",
        "outputId": "aab57f3f-45b5-4d67-ea9c-d522178c0560"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Using cache found in /root/.cache/torch/hub/bshall_hubert_main\n",
            "Using cache found in /root/.cache/torch/hub/bshall_acoustic-model_main\n",
            "Using cache found in /root/.cache/torch/hub/bshall_hifigan_main\n",
            "INFO:     Will watch for changes in these directories: ['/content/voice-changer/demo']\n",
            "INFO:     Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)\n",
            "INFO:     Started reloader process [281] using StatReload\n",
            "ENV: colab\n",
            "Removing weight norm...\n",
            "Using cache found in /root/.cache/torch/hub/bshall_hubert_main\n",
            "Using cache found in /root/.cache/torch/hub/bshall_acoustic-model_main\n",
            "Using cache found in /root/.cache/torch/hub/bshall_hifigan_main\n",
            "Using cache found in /root/.cache/torch/hub/bshall_hubert_main\n",
            "Using cache found in /root/.cache/torch/hub/bshall_acoustic-model_main\n",
            "Using cache found in /root/.cache/torch/hub/bshall_hifigan_main\n",
            "INFO:     Started server process [290]\n",
            "INFO:     Waiting for application startup.\n",
            "INFO:     Application startup complete.\n"
          ]
        }
      ],
      "source": [
        "# (5-2) Check server status (Run with Ctrl+Ret)\n",
        "!cat foo"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Invoke Proxy\n",
        "Starts a proxy to access the web server.\n",
        "\n",
        "Click on the URL displayed to open it and the application will open in a separate tab.\n",
        "\n",
        "Since it is a Colab, it will take some time to load (about 30 seconds)."
      ],
      "metadata": {
        "id": "bHATIjjNuFFy"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab.output import eval_js\n",
        "proxy = eval_js( \"google.colab.kernel.proxyPort(\" + str(PORT) + \")\" )\n",
        "print(f\"{proxy}front/\")"
      ],
      "metadata": {
        "id": "H8EpnHqDjknR",
        "outputId": "5a6611f0-fd18-4139-cbd9-85fc58401293",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "https://ayh2m6j6xsd-496ff2e9c6d22116-8092-colab.googleusercontent.com/front/\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "0XQDeuYijm3Y"
      },
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "collapsed_sections": [],
      "provenance": [],
      "authorship_tag": "ABX9TyPr96AMaFVFBXjmM/2mCqZO",
      "include_colab_link": true
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    },
    "widgets": {
      "application/vnd.jupyter.widget-state+json": {
        "fad16a0235aa4e5bb2b8de5fcb183243": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
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