Merge pull request #896 from hinabl/master

Added Auto Sampling Rate

Hina_Modified_Realtime_Voice_Changer_on_Colab.ipynb

@@ -1,6 +1,6 @@
 {
   "cells": [
-{
+    {
       "cell_type": "markdown",
       "metadata": {
         "id": "view-in-github",
@@ -30,7 +30,8 @@
         "> 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://github.com/YunaOneeChan/Voice-Changer-Settings) to check if these settings are up-to-date*\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",
@@ -46,7 +47,7 @@
         "# **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 [YunaOneeChan](https://github.com/YunaOneeChan)\\\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",
@@ -54,26 +55,6 @@
         "---"
       ]
     },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "cellView": "form",
-        "id": "RhdqDSt-LfGr"
-      },
-      "outputs": [],
-      "source": [
-        "# @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",
-        "import os\n",
-        "from google.colab import drive\n",
-        "\n",
-        "if not os.path.exists('/content/drive'):\n",
-        "  drive.mount('/content/drive')\n",
-        "\n",
-        "%cd /content/drive/MyDrive"
-      ]
-    },
     {
       "cell_type": "code",
       "execution_count": null,
@@ -83,8 +64,9 @@
       },
       "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 will take around 2 minutes to complete.**\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",
@@ -93,12 +75,28 @@
         "import base64\n",
         "import codecs\n",
         "\n",
-        "from IPython.display import clear_output, Javascript\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",
-        "!git clone --depth 1 $externalgit &> /dev/null\n",
+        "\n",
+        "from IPython.display import clear_output, Javascript\n",
         "\n",
         "def update_timer_and_print():\n",
         "    global timer\n",
@@ -112,165 +110,114 @@
         "timer = 0\n",
         "threading.Thread(target=update_timer_and_print, daemon=True).start()\n",
         "\n",
-        "# os.system('cls')\n",
+        "!pip install colorama --quiet\n",
-        "clear_output()\n",
+        "from colorama import Fore, Style\n",
-        "!rm -rf rvctimer\n",
-        "!git clone --depth 1 $rvctimer\n",
-        "!cp -f rvctimer/index.html $pathloc/client/demo/dist/\n",
-        "\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",
-        "print(\"\\033[92mSuccessfully cloned the repository\")\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",
-        "\n",
+        "print(f\"{Fore.CYAN}> Installing pre-dependencies...{Style.RESET_ALL}\")\n",
-        "!apt-get install libportaudio2 &> /dev/null --quiet\n",
+        "# Install dependencies that are missing from requirements.txt and pyngrok\n",
-        "!pip install pyworld onnxruntime-gpu uvicorn faiss-gpu fairseq jedi google-colab moviepy decorator==4.4.2 sounddevice numpy==1.23.5 pyngrok --quiet\n",
+        "!pip install faiss-gpu fairseq pyngrok --quiet\n",
-        "print(\"\\033[92mInstalling Requirements!\")\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",
-        "!pip install -r requirements.txt --no-build-isolation --quiet\n",
+        "print(f\"{Fore.GREEN}> Successfully installed all packages!{Style.RESET_ALL}\")"
-        "# Maybe install Tensor packages?\n",
-        "#!pip install torch-tensorrt\n",
-        "#!pip install TensorRT\n",
-        "print(\"\\033[92mSuccessfully installed all packages!\")\n",
-        "# os.system('cls')\n",
-        "clear_output()\n",
-        "print(\"\\033[92mFinished, please continue to the next cell\")"
       ]
     },
     {
       "cell_type": "code",
       "source": [
-        "\n",
+        "#@title **[Optional]** Upload a voice model (Run this before running the Voice Changer)\n",
-        "#@title #**[Optional]** Upload a voice model (Run this before running the Voice Changer)**[Currently Under Construction]**\n",
-        "#@markdown ---\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",
-        "#@markdown #Model Number `(Default is 0)` you can add multiple models as long as you change the number!\n",
+        "!rm -rf model_dir/$model_slot\n",
-        "model_number = \"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",
+        "#@markdown **[Optional]** Add an icon to the model\n",
-        "\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",
-        "!rm -rf model_dir/$model_number\n",
-        "#@markdown ---\n",
-        "#@markdown #**[Optional]** Add an icon to the model `(can be any image/leave empty for no image)`\n",
-        "icon_link = \"https://cdn.donmai.us/original/8a/92/8a924397e9aac922e94bdc1f28ff978a.jpg\" #@param {type:\"string\"}\n",
-        "#@markdown ---\n",
         "icon_link = '\"'+icon_link+'\"'\n",
         "!mkdir model_dir\n",
-        "!mkdir model_dir/$model_number\n",
+        "!mkdir model_dir/$model_slot\n",
-        "#@markdown #Put your model's download link here `(must be a zip file)`\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/Akatsuki/resolve/main/akatsuki_200epoch.zip\"  #@param {type:\"string\"}\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",
-        "\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_number/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",
-        "#@markdown ---\n",
         "\n",
+        "!unzip model.zip -d model_dir/$model_slot\n",
         "\n",
-        "!unzip model.zip -d model_dir/$model_number\n",
+        "!mv model_dir/$model_slot/*/* model_dir/$model_slot/\n",
-        "\n",
+        "!rm -rf model_dir/$model_slot/*/\n",
-        "# Checks all the files in model_number and puts it outside of it\n",
+        "#@markdown **Model Voice Convertion Setting**\n",
-        "\n",
-        "!mv model_dir/$model_number/*/* model_dir/$model_number/\n",
-        "!rm -rf model_dir/$model_number/*/\n",
-        "\n",
-        "# if theres a folder in the number,\n",
-        "# take all the files in the folder and put it outside of that folder\n",
-        "\n",
-        "\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",
-        "#@markdown ---\n",
-        "#@markdown #Parameter Option `(Ignore if theres a Parameter File)`\n",
-        "Slot_Index = -1 #@param [-1,0,1] {type:\"raw\"}\n",
-        "Sampling_Rate = 48000  #@param [32000,40000,48000] {type:\"raw\"}\n",
         "\n",
-        "# @markdown #**[Optional]** Parameter file for your voice model\n",
+        "param_link = \"\"\n",
-        "#@markdown _(must be named params.json)_ (Leave Empty for Default)\n",
-        "param_link = \"\"  #@param {type:\"string\"}\n",
         "if param_link == \"\":\n",
-        "    model_dir = \"model_dir/\"+model_number+\"/\"\n",
+        "  paramset = requests.get(\"https://pastebin.com/raw/SAKwUCt1\").text\n",
+        "  exec(paramset)\n",
         "\n",
-        "    # Find the .pth and .index files in the model_dir/0 directory\n",
-        "    pth_files = [f for f in os.listdir(model_dir) if f.endswith(\".pth\")]\n",
-        "    index_files = [f for f in os.listdir(model_dir) if f.endswith(\".index\")]\n",
-        "\n",
-        "    if pth_files and index_files:\n",
-        "        # Take the first .pth and .index file as model and index names\n",
-        "        model_name = pth_files[0].replace(\".pth\", \"\")\n",
-        "        index_name = index_files[0].replace(\".index\", \"\")\n",
-        "    else:\n",
-        "        # Set default values if no .pth and .index files are found\n",
-        "        model_name = \"Null\"\n",
-        "        index_name = \"Null\"\n",
-        "\n",
-        "    # Define the content for params.json\n",
-        "    params_content = {\n",
-        "        \"slotIndex\": Slot_Index,\n",
-        "        \"voiceChangerType\": \"RVC\",\n",
-        "        \"name\": model_name,\n",
-        "        \"description\": \"\",\n",
-        "        \"credit\": \"\",\n",
-        "        \"termsOfUseUrl\": \"\",\n",
-        "        \"iconFile\": iconFile,\n",
-        "        \"speakers\": {\n",
-        "            \"0\": \"target\"\n",
-        "        },\n",
-        "        \"modelFile\": f\"{model_name}.pth\",\n",
-        "        \"indexFile\": f\"{index_name}.index\",\n",
-        "        \"defaultTune\": Tune,\n",
-        "        \"defaultIndexRatio\": Index,\n",
-        "        \"defaultProtect\": 0.5,\n",
-        "        \"isONNX\": False,\n",
-        "        \"modelType\": \"pyTorchRVCv2\",\n",
-        "        \"samplingRate\": Sampling_Rate,\n",
-        "        \"f0\": True,\n",
-        "        \"embChannels\": 768,\n",
-        "        \"embOutputLayer\": 12,\n",
-        "        \"useFinalProj\": False,\n",
-        "        \"deprecated\": False,\n",
-        "        \"embedder\": \"hubert_base\",\n",
-        "        \"sampleId\": \"\"\n",
-        "    }\n",
-        "\n",
-        "    # Write the content to params.json\n",
-        "    with open(f\"{model_dir}/params.json\", \"w\") as param_file:\n",
-        "        json.dump(params_content, param_file)\n",
-        "\n",
-        "# !unzip model.zip -d model_dir/0/\n",
         "clear_output()\n",
-        "print(\"\\033[92mModel with the name of \"+model_name+\" has been Imported!\")\n"
+        "print(\"\\033[93mModel with the name of \"+model_name+\" has been Imported to slot \"+model_slot)"
       ],
       "metadata": {
-        "cellView": "form",
+        "id": "_ZtbKUVUgN3G",
-        "id": "_ZtbKUVUgN3G"
+        "cellView": "form"
-      },
-      "execution_count": null,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "#@title Delete a model\n",
-        "#@markdown ---\n",
-        "#@markdown Select which slot you want to delete\n",
-        "Delete_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",
-        "{type:\"slider\",min:0,max:1,step:0.1}\n",
-        "\n",
-        "!rm -rf model_dir/$Model_Number\n",
-        "print(\"\\033[92mSuccessfully removed Model is slot \"+Delete_Slot)\n"
-      ],
-      "metadata": {
-        "id": "P9g6rG1-KUwt"
       },
       "execution_count": null,
       "outputs": []
@@ -279,71 +226,79 @@
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
-        "id": "lLWQuUd7WW9U"
+        "id": "lLWQuUd7WW9U",
+        "cellView": "form"
       },
       "outputs": [],
       "source": [
-        "# @title **[2]** Start Server **using ngrok** (Recommended | **need a ngrok account**)\n",
+        "\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 **it's free**!\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 **free** account at [ngrok](https://dashboard.ngrok.com/signup)\\\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 or Github, you will need to **verify your e-mail**!\\\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, copy it and place it here:\n",
+        "# @markdown **3** - Click [this link](https://dashboard.ngrok.com/get-started/your-authtoken) to get your auth token, and place it here:\n",
-        "from pyngrok import conf, ngrok\n",
+        "Token = 'TOKEN_HERE' # @param {type:\"string\"}\n",
-        "\n",
+        "# @markdown **4** - *(optional)* Change to a region near to you or keep at United States if increase latency\\\n",
-        "f0_det= \"rmvpe_onnx\" #@param [\"rmvpe_onnx\",\"rvc\"]\n",
-        "Token = 'YOUR_TOKEN_HERE' # @param {type:\"string\"}\n",
-        "# @markdown **4** - Still need further tests, but maybe region can help a bit on latency?\\\n",
         "# @markdown `Default Region: us - United States (Ohio)`\n",
-        "Region = \"ap - Asia/Pacific (Singapore)\" # @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",
+        "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",
-        "MyConfig = conf.PyngrokConfig()\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",
-        "\n",
+        "#conf.get_default().authtoken = Token\n",
-        "conf.get_default().authtoken = Token\n",
+        "#conf.get_default().region = Region\n",
-        "conf.get_default().region = Region[0:2]\n",
-        "\n",
         "conf.set_default(MyConfig);\n",
         "\n",
-        "# @markdown ---\n",
+        "import subprocess, threading, time, socket, urllib.request\n",
-        "# @markdown If you want to automatically clear the output when the server loads, check this option.\n",
+        "PORT = 8000\n",
-        "Clear_Output = True # @param {type:\"boolean\"}\n",
-        "\n",
-        "mainpy=codecs.decode('ZZIPFreireFVB.cl','rot_13')\n",
-        "\n",
-        "import portpicker, socket, urllib.request\n",
-        "PORT = portpicker.pick_unused_port()\n",
         "\n",
         "from pyngrok import ngrok\n",
-        "# Edited ⏬⏬\n",
         "ngrokConnection = ngrok.connect(PORT)\n",
         "public_url = ngrokConnection.public_url\n",
         "\n",
-        "def iframe_thread(port):\n",
+        "from IPython.display import clear_output\n",
-        "  while True:\n",
+        "from IPython.display import Audio, display\n",
-        "      time.sleep(0.5)\n",
+        "def play_notification_sound():\n",
-        "      sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n",
+        "    display(Audio(url='https://raw.githubusercontent.com/hinabl/rmvpe-ai-kaggle/main/custom/audios/notif.mp3', autoplay=True))\n",
-        "      result = sock.connect_ex(('127.0.0.1', port))\n",
-        "      if result == 0:\n",
-        "        break\n",
-        "      sock.close()\n",
-        "  clear_output()\n",
-        "  print(\"------- SERVER READY! -------\")\n",
-        "  print(\"Your server is available at:\")\n",
-        "  print(public_url)\n",
-        "  print(\"-----------------------------\")\n",
-        "  # display(Javascript('window.open(\"{url}\", \\'_blank\\');'.format(url=public_url)))\n",
-        "\n",
-        "print(PORT)\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=iframe_thread, daemon=True, args=(PORT,)).start()\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",
@@ -360,74 +315,27 @@
         "  --rmvpe pretrain/rmvpe.pt \\\n",
         "  --model_dir model_dir \\\n",
         "  --samples samples.json\n",
-        "\n"
+        "\n",
+        "ngrok.disconnect(ngrokConnection.public_url)"
       ]
     },
     {
-      "cell_type": "code",
+      "cell_type": "markdown",
       "source": [
-        "# @title **[Optional]** Start Server **using localtunnel** (ngrok alternative | no account needed)\n",
+        "![](https://i.pinimg.com/474x/de/72/9e/de729ecfa41b69901c42c82fff752414.jpg)\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",
+        "![](https://i.pinimg.com/474x/de/72/9e/de729ecfa41b69901c42c82fff752414.jpg)"
-        "\n",
-        "# @markdown ---\n",
-        "!npm config set update-notifier false\n",
-        "!npm install -g localtunnel\n",
-        "print(\"\\033[92mLocalTunnel installed!\")\n",
-        "# @markdown If you want to automatically clear the output when the server loads, check this option.\n",
-        "Clear_Output = True # @param {type:\"boolean\"}\n",
-        "\n",
-        "import portpicker, subprocess, threading, time, socket, urllib.request\n",
-        "PORT = portpicker.pick_unused_port()\n",
-        "\n",
-        "from IPython.display import clear_output, Javascript\n",
-        "\n",
-        "def iframe_thread(port):\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",
-        "  clear_output()\n",
-        "  print(\"Use the following endpoint to connect to localtunnel:\", urllib.request.urlopen('https://ipv4.icanhazip.com').read().decode('utf8').strip(\"\\n\"))\n",
-        "  p = subprocess.Popen([\"lt\", \"--port\", \"{}\".format(port)], stdout=subprocess.PIPE)\n",
-        "  for line in p.stdout:\n",
-        "    print(line.decode(), end='')\n",
-        "\n",
-        "threading.Thread(target=iframe_thread, daemon=True, args=(PORT,)).start()\n",
-        "\n",
-        "\n",
-        "!python3 MMVCServerSIO.py \\\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",
-        "  --colab True"
       ],
       "metadata": {
-        "cellView": "form",
+        "id": "2Uu1sTSwTc7q"
-        "id": "ZwZaCf4BeZi2"
+      }
-      },
-      "execution_count": null,
-      "outputs": []
     }
   ],
   "metadata": {
     "colab": {
       "provenance": [],
       "private_outputs": true,
-      "gpuType": "T4"
+      "gpuType": "T4",
+      "include_colab_link": true
     },
     "kernelspec": {
       "display_name": "Python 3",
@@ -440,4 +348,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 0
-}
+}