diff --git a/app.py b/app.py
index 8da0b3f5..c4baf71f 100644
--- a/app.py
+++ b/app.py
@@ -83,7 +83,7 @@
     )
     gr.Markdown(
         i18n(
-            "[Support](https://discord.gg/urxFjYmYYh) — [Discord Bot](https://discord.com/oauth2/authorize?client_id=1144714449563955302&permissions=1376674695271&scope=bot%20applications.commands) — [Find Voices](https://applio.org/models) — [GitHub](https://github.com/IAHispano/Applio)"
+            "[Support](https://discord.gg/urxFjYmYYh) — [Discord Bot](https://discord.com/oauth2/authorize?client_id=1144714449563955302&permissions=1376674695271&scope=bot%20applications.commands) — [GitHub](https://github.com/IAHispano/Applio)"
         )
     )
     with gr.Tab(i18n("Inference")):
diff --git a/assets/Applio.ipynb b/assets/Applio.ipynb
index 48099fb3..8f3c1bbc 100644
--- a/assets/Applio.ipynb
+++ b/assets/Applio.ipynb
@@ -1,453 +1,453 @@
 {
-  "cells": [
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "ymhGfgFSR17k"
-      },
-      "source": [
-        "## **Applio**\n",
-        "A simple, high-quality voice conversion tool focused on ease of use and performance.\n",
-        "\n",
-        "[Support](https://discord.gg/urxFjYmYYh) — [Discord Bot](https://discord.com/oauth2/authorize?client_id=1144714449563955302&permissions=1376674695271&scope=bot%20applications.commands) — [Find Voices](https://applio.org/models) — [GitHub](https://github.com/IAHispano/Applio)\n",
-        "\n",
-        "<br>\n",
-        "\n",
-        "### **Credits**\n",
-        "- Encryption method: [Hina](https://github.com/hinabl)\n",
-        "- Extra section: [Poopmaster](https://github.com/poiqazwsx)\n",
-        "- Main development: [Applio Team](https://github.com/IAHispano)"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "cellView": "form",
-        "id": "vtON700qokuQ"
-      },
-      "outputs": [],
-      "source": [
-        "# @title **Install Applio**\n",
-        "import os\n",
-        "import codecs\n",
-        "import shutil\n",
-        "import tarfile\n",
-        "import subprocess\n",
-        "\n",
-        "from pathlib import Path\n",
-        "from IPython.display import clear_output\n",
-        "\n",
-        "rot_47 = lambda encoded_text: \"\".join(\n",
-        "    [\n",
-        "        (\n",
-        "            chr(\n",
-        "                (ord(c) - (ord(\"a\") if c.islower() else ord(\"A\")) - 47) % 26\n",
-        "                + (ord(\"a\") if c.islower() else ord(\"A\"))\n",
-        "            )\n",
-        "            if c.isalpha()\n",
-        "            else c\n",
-        "        )\n",
-        "        for c in encoded_text\n",
-        "    ]\n",
-        ")\n",
-        "\n",
-        "org_name = rot_47(\"Vkkgdj\")\n",
-        "new_name = rot_47(\"kmjbmvh_hg\")\n",
-        "uioawhd = rot_47(codecs.decode(\"pbbxa://oqbpcj.kwu/QIPqaxivw/Ixxtqw.oqb\", \"rot_13\"))\n",
-        "uyadwa = codecs.decode(\"ncc.cl\", \"rot_13\")\n",
-        "A = \"/content/\" + rot_47(\"Kikpm.ovm.bu\")\n",
-        "!git clone --depth 1 $uioawhd $new_name --branch 3.2.7 --single-branch\n",
-        "%cd $new_name/\n",
-        "clear_output()\n",
-        "def vidal_setup():\n",
-        "    A = \"/content/\" + rot_47(\"Kikpm.ovm.bu\")\n",
-        "\n",
-        "    D = \"/\"\n",
-        "    if not os.path.exists(A):\n",
-        "        M = os.path.dirname(A)\n",
-        "        os.makedirs(M, exist_ok=True)\n",
-        "        print(\"No cached install found..\")\n",
-        "        try:\n",
-        "            N = codecs.decode(\n",
-        "                    \"uggcf://uhttvatsnpr.pb/VNUvfcnab/Nccyvb/erfbyir/znva/Raivebzrag/Pbyno/Cache.gne.tm\",\n",
-        "                    \"rot_13\",\n",
-        "                )\n",
-        "            subprocess.run([\"wget\", \"-O\", A, N])\n",
-        "            print(\"Download completed successfully!\")\n",
-        "        except Exception as H:\n",
-        "            print(str(H))\n",
-        "            if os.path.exists(A):\n",
-        "                os.remove(A)\n",
-        "    if Path(A).exists():\n",
-        "        with tarfile.open(A, \"r:gz\") as I:\n",
-        "            I.extractall(D)\n",
-        "            print(f\"Extraction of {A} to {D} completed.\")\n",
-        "        if os.path.exists(A):\n",
-        "            os.remove(A)\n",
-        "\n",
-        "vidal_setup()\n",
-        "!pip uninstall torch torchvision torchaudio -y\n",
-        "!pip install pydantic==2.8.2 fastapi==0.112.0 starlette==0.37.2\n",
-        "!pip install torch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1 --upgrade --index-url https://download.pytorch.org/whl/cu121\n",
-        "clear_output()\n",
-        "print(\"Finished installing requirements! \")"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "cellView": "form",
-        "id": "-7cQtXouqpQi"
-      },
-      "outputs": [],
-      "source": [
-        "# @title **Start Applio**\n",
-        "# @markdown  ### Just activate this in case the share link of the gradio dont work\n",
-        "import codecs\n",
-        "import threading\n",
-        "import urllib.request\n",
-        "import time\n",
-        "import ipywidgets as widgets\n",
-        "from IPython.display import display\n",
-        "import os\n",
-        "os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\n",
-        "!npm install -g localtunnel &>/dev/null\n",
-        "share_tunnel = False  # @param {type:\"boolean\"}\n",
-        "def start_applio():\n",
-        "    if share_tunnel:\n",
-        "        !python $uyadwa --listen\n",
-        "    else:\n",
-        "        !python $uyadwa --listen --share\n",
-        "\n",
-        "%load_ext tensorboard\n",
-        "%reload_ext tensorboard\n",
-        "%tensorboard --logdir logs --bind_all\n",
-        "\n",
-        "if \"autobackups\" not in globals():\n",
-        "    autobackups = False\n",
-        "\n",
-        "if autobackups:\n",
-        "    thread = threading.Thread(target=backup_files)\n",
-        "    thread.start()\n",
-        "\n",
-        "thread_applio = threading.Thread(target=start_applio)\n",
-        "thread_applio.start()\n",
-        "\n",
-        "if share_tunnel:\n",
-        "    if not os.path.exists(codecs.decode(\"eip/zbqryf/cergenvarqf/cergenvarq_i2/s0T48x.cgu\", \"rot_13\")):\n",
-        "        while not os.path.exists(codecs.decode(\"eip/zbqryf/cergenvarqf/cergenvarq_i2/s0T48x.cgu\", \"rot_13\")):\n",
-        "            time.sleep(2)\n",
-        "        time.sleep(5)\n",
-        "    else:\n",
-        "        time.sleep(10)\n",
-        "    with open('url.txt', 'w') as file:\n",
-        "        file.write('')\n",
-        "\n",
-        "    get_ipython().system_raw('lt --port 6969 >> url.txt 2>&1 &')\n",
-        "\n",
-        "    time.sleep(4)\n",
-        "\n",
-        "    endpoint_ip = urllib.request.urlopen('https://ipv4.icanhazip.com').read().decode('utf8').strip(\"\\n\")\n",
-        "\n",
-        "    with open('url.txt', 'r') as file:\n",
-        "        tunnel_url = file.read()\n",
-        "        tunnel_url = tunnel_url.replace(\"your url is: \", \"\")\n",
-        "\n",
-        "    print(f\"Share Link: \\033[0m\\033[93m{tunnel_url}\\033[0m\", end=\"\\033[0m\\n\")\n",
-        "\n",
-        "    password_endpoint_widget = widgets.Text(\n",
-        "    value=endpoint_ip,\n",
-        "    description='Password IP:',\n",
-        "    disabled=True\n",
-        "    )\n",
-        "    display(password_endpoint_widget)\n",
-        "\n",
-        "\n",
-        "\n",
-        "while True:\n",
-        "    time.sleep(5)\n"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "3b59-2x-qEnX"
-      },
-      "source": [
-        "### **Extra**\n",
-        "Enjoy extra options that can make it easier for you to use Applio\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "cellView": "form",
-        "id": "19LNv6iYqF6_"
-      },
-      "outputs": [],
-      "source": [
-        "# @title Mount Drive\n",
-        "# @markdown Mount the files from Google Drive to the Colab.\n",
-        "from google.colab import drive\n",
-        "\n",
-        "drive.mount(\"/content/drive\")"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "cellView": "form",
-        "id": "I5o6MlpFouiG"
-      },
-      "outputs": [],
-      "source": [
-        "# @title Auto Backup\n",
-        "# @markdown When running it, it will be activated or deactivated previously to start up together with Applio.\n",
-        "import os\n",
-        "import shutil\n",
-        "import time\n",
-        "\n",
-        "LOGS_FOLDER = \"/content/program_ml/logs/\"\n",
-        "GOOGLE_DRIVE_PATH = \"/content/drive/MyDrive/ApplioBackup\"\n",
-        "\n",
-        "if \"autobackups\" not in globals():\n",
-        "    autobackups = False\n",
-        "\n",
-        "cooldown = 15  # @param {type:\"slider\", min:0, max:100, step:0}\n",
-        "def backup_files():\n",
-        "    print(\"\\nStarting backup loop...\")\n",
-        "    last_backup_timestamps_path = os.path.join(\n",
-        "        LOGS_FOLDER, \"last_backup_timestamps.txt\"\n",
-        "    )\n",
-        "    fully_updated = False\n",
-        "\n",
-        "    while True:\n",
-        "        try:\n",
-        "            updated_files = 0\n",
-        "            deleted_files = 0\n",
-        "            new_files = 0\n",
-        "            last_backup_timestamps = {}\n",
-        "\n",
-        "            try:\n",
-        "                with open(last_backup_timestamps_path, \"r\") as f:\n",
-        "                    last_backup_timestamps = dict(line.strip().split(\":\") for line in f)\n",
-        "            except FileNotFoundError:\n",
-        "                pass\n",
-        "\n",
-        "            for root, dirs, files in os.walk(LOGS_FOLDER):\n",
-        "                # Excluding \"zips\" and \"mute\" directories\n",
-        "                if \"zips\" in dirs:\n",
-        "                    dirs.remove(\"zips\")\n",
-        "                if \"mute\" in dirs:\n",
-        "                    dirs.remove(\"mute\")\n",
-        "\n",
-        "                for filename in files:\n",
-        "                    if filename != \"last_backup_timestamps.txt\":\n",
-        "                        filepath = os.path.join(root, filename)\n",
-        "                        if os.path.isfile(filepath):\n",
-        "                            backup_filepath = os.path.join(\n",
-        "                                GOOGLE_DRIVE_PATH,\n",
-        "                                os.path.relpath(filepath, LOGS_FOLDER),\n",
-        "                            )\n",
-        "                            backup_folderpath = os.path.dirname(backup_filepath)\n",
-        "                            if not os.path.exists(backup_folderpath):\n",
-        "                                os.makedirs(backup_folderpath)\n",
-        "                            last_backup_timestamp = last_backup_timestamps.get(filepath)\n",
-        "                            current_timestamp = os.path.getmtime(filepath)\n",
-        "                            if (\n",
-        "                                last_backup_timestamp is None\n",
-        "                                or float(last_backup_timestamp) < current_timestamp\n",
-        "                            ):\n",
-        "                                shutil.copy2(filepath, backup_filepath)\n",
-        "                                last_backup_timestamps[filepath] = str(current_timestamp)\n",
-        "                                if last_backup_timestamp is None:\n",
-        "                                    new_files += 1\n",
-        "                                else:\n",
-        "                                    updated_files += 1\n",
-        "\n",
-        "\n",
-        "            for filepath in list(last_backup_timestamps.keys()):\n",
-        "                if not os.path.exists(filepath):\n",
-        "                    backup_filepath = os.path.join(\n",
-        "                        GOOGLE_DRIVE_PATH, os.path.relpath(filepath, LOGS_FOLDER)\n",
-        "                    )\n",
-        "                    if os.path.exists(backup_filepath):\n",
-        "                        os.remove(backup_filepath)\n",
-        "                        deleted_files += 1\n",
-        "                    del last_backup_timestamps[filepath]\n",
-        "\n",
-        "\n",
-        "            if updated_files > 0 or deleted_files > 0 or new_files > 0:\n",
-        "                print(f\"Backup Complete: {new_files} new, {updated_files} updated, {deleted_files} deleted.\")\n",
-        "                fully_updated = False\n",
-        "            elif not fully_updated:\n",
-        "                print(\"Files are up to date.\")\n",
-        "                fully_updated = True\n",
-        "\n",
-        "            with open(last_backup_timestamps_path, \"w\") as f:\n",
-        "                for filepath, timestamp in last_backup_timestamps.items():\n",
-        "                    f.write(f\"{filepath}:{timestamp}\\n\")\n",
-        "\n",
-        "            time.sleep(cooldown if fully_updated else 0.1)\n",
-        "\n",
-        "\n",
-        "        except Exception as error:\n",
-        "            print(f\"An error occurred during backup: {error}\")\n",
-        "\n",
-        "\n",
-        "if autobackups:\n",
-        "    autobackups = False\n",
-        "    print(\"Autobackup Disabled\")\n",
-        "else:\n",
-        "    autobackups = True\n",
-        "    print(\"Autobackup Enabled\")"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "cellView": "form",
-        "id": "-vIzj7pye8Z0"
-      },
-      "outputs": [],
-      "source": [
-        "# @title Setup new logs folder format\n",
-        "# @markdown Put the exact name you put as your Model Name in Applio.\n",
-        "modelname = \"My-Project\"  # @param {type:\"string\"}\n",
-        "logs_folder = f\"/content/program_ml/logs/{modelname}/\"\n",
-        "\n",
-        "import os\n",
-        "\n",
-        "folder_renames = {\n",
-        "    \"0_gt_wavs\": \"sliced_audios\",\n",
-        "    \"1_16k_wavs\": \"sliced_audios_16k\",\n",
-        "    \"2a_f0\": \"f0\",\n",
-        "    \"2b-f0nsf\": \"f0_voiced\",\n",
-        "    \"3_feature768\": \"v2_extracted\"\n",
-        "}\n",
-        "\n",
-        "def rename_folders(base_path, rename_dict):\n",
-        "    for old_name, new_name in rename_dict.items():\n",
-        "        old_path = os.path.join(base_path, old_name)\n",
-        "        new_path = os.path.join(base_path, new_name)\n",
-        "        if os.path.exists(old_path):\n",
-        "            os.rename(old_path, new_path)\n",
-        "            print(f\"Renamed {old_path} to {new_path}\")\n",
-        "        else:\n",
-        "            print(f\"Folder {old_path} does not exist\")\n",
-        "\n",
-        "rename_folders(logs_folder, folder_renames)\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "cellView": "form",
-        "id": "ifV_vc4h4Uvx"
-      },
-      "outputs": [],
-      "source": [
-        "# @title Load a Backup\n",
-        "from google.colab import drive\n",
-        "import os\n",
-        "\n",
-        "# @markdown Put the exact name you put as your Model Name in Applio.\n",
-        "modelname = \"My-Project\"  # @param {type:\"string\"}\n",
-        "source_path = \"/content/drive/MyDrive/ApplioBackup/\" + modelname\n",
-        "destination_path = \"/content/program_ml/logs/\" + modelname\n",
-        "backup_timestamps_file = \"last_backup_timestamps.txt\"\n",
-        "if not os.path.exists(source_path):\n",
-        "    print(\n",
-        "        \"The model folder does not exist. Please verify the name is correct or check your Google Drive.\"\n",
-        "    )\n",
-        "else:\n",
-        "    time_ = os.path.join(\"/content/drive/MyDrive/ApplioBackup/\", backup_timestamps_file)\n",
-        "    time__ = os.path.join(\"/content/program_ml/logs/\", backup_timestamps_file)\n",
-        "    if os.path.exists(time_):\n",
-        "        shutil.copy(time_, time__)\n",
-        "    shutil.copytree(source_path, destination_path)\n",
-        "    print(\"Model backup loaded successfully.\")"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "cellView": "form",
-        "id": "leWbhk1X4XoY"
-      },
-      "outputs": [],
-      "source": [
-        "# @title Download all custom pretrains\n",
-        "import os\n",
-        "import urllib.request\n",
-        "\n",
-        "%mkdir /content/program_ml/rvc/models/pretraineds/pretraineds_custom\n",
-        "pretrained_urls = [\n",
-        "    # Ov2 Super\n",
-        "    \"https://huggingface.co/ORVC/Ov2Super/resolve/main/f0Ov2Super32kG.pth\",\n",
-        "    \"https://huggingface.co/ORVC/Ov2Super/resolve/main/f0Ov2Super32kD.pth\",\n",
-        "    \"https://huggingface.co/ORVC/Ov2Super/resolve/main/f0Ov2Super40kG.pth\",\n",
-        "    \"https://huggingface.co/ORVC/Ov2Super/resolve/main/f0Ov2Super40kD.pth\",\n",
-        "\n",
-        "    # TITAN\n",
-        "    \"https://huggingface.co/blaise-tk/TITAN/resolve/main/models/medium/40k/pretrained/G-f040k-TITAN-Medium.pth\",\n",
-        "    \"https://huggingface.co/blaise-tk/TITAN/resolve/main/models/medium/40k/pretrained/D-f040k-TITAN-Medium.pth\",\n",
-        "    \"https://huggingface.co/blaise-tk/TITAN/resolve/main/models/medium/32k/pretrained/G-f032k-TITAN-Medium.pth\",\n",
-        "    \"https://huggingface.co/blaise-tk/TITAN/resolve/main/models/medium/32k/pretrained/D-f032k-TITAN-Medium.pth\",\n",
-        "\n",
-        "    # Snowie V3\n",
-        "    \"https://huggingface.co/MUSTAR/SnowieV3.1-32k/resolve/main/D_SnowieV3.1_32k.pth\",\n",
-        "    \"https://huggingface.co/MUSTAR/SnowieV3.1-32k/resolve/main/G_SnowieV3.1_32k.pth\",\n",
-        "    \"https://huggingface.co/MUSTAR/SnowieV3.1-40k/resolve/main/G_SnowieV3.1_40k.pth\",\n",
-        "    \"https://huggingface.co/MUSTAR/SnowieV3.1-40k/resolve/main/D_SnowieV3.1_40k.pth\",\n",
-        "    \"https://huggingface.co/MUSTAR/SnowieV3.1-48k/resolve/main/G_SnowieV3.1_48k.pth\",\n",
-        "    \"https://huggingface.co/MUSTAR/SnowieV3.1-48k/resolve/main/D_SnowieV3.1_48k.pth\",\n",
-        "\n",
-        "    # RIN E3\n",
-        "    \"https://huggingface.co/MUSTAR/RIN_E3/resolve/main/RIN_E3_G.pth\",\n",
-        "    \"https://huggingface.co/MUSTAR/RIN_E3/resolve/main/RIN_E3_D.pth\",\n",
-        "\n",
-        "    # KLM\n",
-        "    \"https://huggingface.co/SeoulStreamingStation/KLM4.1/resolve/main/D_KLM41_32k.pth\",\n",
-        "    \"https://huggingface.co/SeoulStreamingStation/KLM4.1/resolve/main/G_KLM41_32k.pth\",\n",
-        "    \"https://huggingface.co/SeoulStreamingStation/KLM4.1/resolve/main/D_KLM41_48k.pth\",\n",
-        "    \"https://huggingface.co/SeoulStreamingStation/KLM4.1/resolve/main/G_KLM41_48k.pth\",\n",
-        "\n",
-        "    # SnowieV3 X RIN_E3\n",
-        "    \"https://huggingface.co/MUSTAR/SnowieV3.1-X-RinE3-40K/resolve/main/D_Snowie-X-Rin_40k.pth\",\n",
-        "    \"https://huggingface.co/MUSTAR/SnowieV3.1-X-RinE3-40K/resolve/main/G_Snowie-X-Rin_40k.pth\",\n",
-        "]\n",
-        "output_directory = \"/content/program_ml/rvc/models/pretraineds/pretraineds_custom\"\n",
-        "for url in pretrained_urls:\n",
-        "    filename = os.path.join(output_directory, os.path.basename(url))\n",
-        "    urllib.request.urlretrieve(url, filename)"
-      ]
-    }
-  ],
-  "metadata": {
-    "accelerator": "GPU",
-    "colab": {
-      "collapsed_sections": [
-        "3b59-2x-qEnX"
-      ],
-      "gpuType": "T4",
-      "provenance": []
-    },
-    "kernelspec": {
-      "display_name": "Python 3",
-      "name": "python3"
-    },
-    "language_info": {
-      "name": "python"
-    }
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "ymhGfgFSR17k"
+   },
+   "source": [
+    "## **Applio**\n",
+    "A simple, high-quality voice conversion tool focused on ease of use and performance.\n",
+    "\n",
+    "[Support](https://discord.gg/urxFjYmYYh) — [Discord Bot](https://discord.com/oauth2/authorize?client_id=1144714449563955302&permissions=1376674695271&scope=bot%20applications.commands) — [GitHub](https://github.com/IAHispano/Applio)\n",
+    "\n",
+    "<br>\n",
+    "\n",
+    "### **Credits**\n",
+    "- Encryption method: [Hina](https://github.com/hinabl)\n",
+    "- Extra section: [Poopmaster](https://github.com/poiqazwsx)\n",
+    "- Main development: [Applio Team](https://github.com/IAHispano)"
+   ]
   },
-  "nbformat": 4,
-  "nbformat_minor": 0
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "cellView": "form",
+    "id": "vtON700qokuQ"
+   },
+   "outputs": [],
+   "source": [
+    "# @title **Install Applio**\n",
+    "import os\n",
+    "import codecs\n",
+    "import shutil\n",
+    "import tarfile\n",
+    "import subprocess\n",
+    "\n",
+    "from pathlib import Path\n",
+    "from IPython.display import clear_output\n",
+    "\n",
+    "rot_47 = lambda encoded_text: \"\".join(\n",
+    "    [\n",
+    "        (\n",
+    "            chr(\n",
+    "                (ord(c) - (ord(\"a\") if c.islower() else ord(\"A\")) - 47) % 26\n",
+    "                + (ord(\"a\") if c.islower() else ord(\"A\"))\n",
+    "            )\n",
+    "            if c.isalpha()\n",
+    "            else c\n",
+    "        )\n",
+    "        for c in encoded_text\n",
+    "    ]\n",
+    ")\n",
+    "\n",
+    "org_name = rot_47(\"Vkkgdj\")\n",
+    "new_name = rot_47(\"kmjbmvh_hg\")\n",
+    "uioawhd = rot_47(codecs.decode(\"pbbxa://oqbpcj.kwu/QIPqaxivw/Ixxtqw.oqb\", \"rot_13\"))\n",
+    "uyadwa = codecs.decode(\"ncc.cl\", \"rot_13\")\n",
+    "A = \"/content/\" + rot_47(\"Kikpm.ovm.bu\")\n",
+    "!git clone --depth 1 $uioawhd $new_name --branch 3.2.7 --single-branch\n",
+    "%cd $new_name/\n",
+    "clear_output()\n",
+    "def vidal_setup():\n",
+    "    A = \"/content/\" + rot_47(\"Kikpm.ovm.bu\")\n",
+    "\n",
+    "    D = \"/\"\n",
+    "    if not os.path.exists(A):\n",
+    "        M = os.path.dirname(A)\n",
+    "        os.makedirs(M, exist_ok=True)\n",
+    "        print(\"No cached install found..\")\n",
+    "        try:\n",
+    "            N = codecs.decode(\n",
+    "                    \"uggcf://uhttvatsnpr.pb/VNUvfcnab/Nccyvb/erfbyir/znva/Raivebzrag/Pbyno/Cache.gne.tm\",\n",
+    "                    \"rot_13\",\n",
+    "                )\n",
+    "            subprocess.run([\"wget\", \"-O\", A, N])\n",
+    "            print(\"Download completed successfully!\")\n",
+    "        except Exception as H:\n",
+    "            print(str(H))\n",
+    "            if os.path.exists(A):\n",
+    "                os.remove(A)\n",
+    "    if Path(A).exists():\n",
+    "        with tarfile.open(A, \"r:gz\") as I:\n",
+    "            I.extractall(D)\n",
+    "            print(f\"Extraction of {A} to {D} completed.\")\n",
+    "        if os.path.exists(A):\n",
+    "            os.remove(A)\n",
+    "\n",
+    "vidal_setup()\n",
+    "!pip uninstall torch torchvision torchaudio -y\n",
+    "!pip install pydantic==2.8.2 fastapi==0.112.0 starlette==0.37.2\n",
+    "!pip install torch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1 --upgrade --index-url https://download.pytorch.org/whl/cu121\n",
+    "clear_output()\n",
+    "print(\"Finished installing requirements! \")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "cellView": "form",
+    "id": "-7cQtXouqpQi"
+   },
+   "outputs": [],
+   "source": [
+    "# @title **Start Applio**\n",
+    "# @markdown  ### Just activate this in case the share link of the gradio dont work\n",
+    "import codecs\n",
+    "import threading\n",
+    "import urllib.request\n",
+    "import time\n",
+    "import ipywidgets as widgets\n",
+    "from IPython.display import display\n",
+    "import os\n",
+    "os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\n",
+    "!npm install -g localtunnel &>/dev/null\n",
+    "share_tunnel = False  # @param {type:\"boolean\"}\n",
+    "def start_applio():\n",
+    "    if share_tunnel:\n",
+    "        !python $uyadwa --listen\n",
+    "    else:\n",
+    "        !python $uyadwa --listen --share\n",
+    "\n",
+    "%load_ext tensorboard\n",
+    "%reload_ext tensorboard\n",
+    "%tensorboard --logdir logs --bind_all\n",
+    "\n",
+    "if \"autobackups\" not in globals():\n",
+    "    autobackups = False\n",
+    "\n",
+    "if autobackups:\n",
+    "    thread = threading.Thread(target=backup_files)\n",
+    "    thread.start()\n",
+    "\n",
+    "thread_applio = threading.Thread(target=start_applio)\n",
+    "thread_applio.start()\n",
+    "\n",
+    "if share_tunnel:\n",
+    "    if not os.path.exists(codecs.decode(\"eip/zbqryf/cergenvarqf/cergenvarq_i2/s0T48x.cgu\", \"rot_13\")):\n",
+    "        while not os.path.exists(codecs.decode(\"eip/zbqryf/cergenvarqf/cergenvarq_i2/s0T48x.cgu\", \"rot_13\")):\n",
+    "            time.sleep(2)\n",
+    "        time.sleep(5)\n",
+    "    else:\n",
+    "        time.sleep(10)\n",
+    "    with open('url.txt', 'w') as file:\n",
+    "        file.write('')\n",
+    "\n",
+    "    get_ipython().system_raw('lt --port 6969 >> url.txt 2>&1 &')\n",
+    "\n",
+    "    time.sleep(4)\n",
+    "\n",
+    "    endpoint_ip = urllib.request.urlopen('https://ipv4.icanhazip.com').read().decode('utf8').strip(\"\\n\")\n",
+    "\n",
+    "    with open('url.txt', 'r') as file:\n",
+    "        tunnel_url = file.read()\n",
+    "        tunnel_url = tunnel_url.replace(\"your url is: \", \"\")\n",
+    "\n",
+    "    print(f\"Share Link: \\033[0m\\033[93m{tunnel_url}\\033[0m\", end=\"\\033[0m\\n\")\n",
+    "\n",
+    "    password_endpoint_widget = widgets.Text(\n",
+    "    value=endpoint_ip,\n",
+    "    description='Password IP:',\n",
+    "    disabled=True\n",
+    "    )\n",
+    "    display(password_endpoint_widget)\n",
+    "\n",
+    "\n",
+    "\n",
+    "while True:\n",
+    "    time.sleep(5)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "3b59-2x-qEnX"
+   },
+   "source": [
+    "### **Extra**\n",
+    "Enjoy extra options that can make it easier for you to use Applio\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "cellView": "form",
+    "id": "19LNv6iYqF6_"
+   },
+   "outputs": [],
+   "source": [
+    "# @title Mount Drive\n",
+    "# @markdown Mount the files from Google Drive to the Colab.\n",
+    "from google.colab import drive\n",
+    "\n",
+    "drive.mount(\"/content/drive\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "cellView": "form",
+    "id": "I5o6MlpFouiG"
+   },
+   "outputs": [],
+   "source": [
+    "# @title Auto Backup\n",
+    "# @markdown When running it, it will be activated or deactivated previously to start up together with Applio.\n",
+    "import os\n",
+    "import shutil\n",
+    "import time\n",
+    "\n",
+    "LOGS_FOLDER = \"/content/program_ml/logs/\"\n",
+    "GOOGLE_DRIVE_PATH = \"/content/drive/MyDrive/ApplioBackup\"\n",
+    "\n",
+    "if \"autobackups\" not in globals():\n",
+    "    autobackups = False\n",
+    "\n",
+    "cooldown = 15  # @param {type:\"slider\", min:0, max:100, step:0}\n",
+    "def backup_files():\n",
+    "    print(\"\\nStarting backup loop...\")\n",
+    "    last_backup_timestamps_path = os.path.join(\n",
+    "        LOGS_FOLDER, \"last_backup_timestamps.txt\"\n",
+    "    )\n",
+    "    fully_updated = False\n",
+    "\n",
+    "    while True:\n",
+    "        try:\n",
+    "            updated_files = 0\n",
+    "            deleted_files = 0\n",
+    "            new_files = 0\n",
+    "            last_backup_timestamps = {}\n",
+    "\n",
+    "            try:\n",
+    "                with open(last_backup_timestamps_path, \"r\") as f:\n",
+    "                    last_backup_timestamps = dict(line.strip().split(\":\") for line in f)\n",
+    "            except FileNotFoundError:\n",
+    "                pass\n",
+    "\n",
+    "            for root, dirs, files in os.walk(LOGS_FOLDER):\n",
+    "                # Excluding \"zips\" and \"mute\" directories\n",
+    "                if \"zips\" in dirs:\n",
+    "                    dirs.remove(\"zips\")\n",
+    "                if \"mute\" in dirs:\n",
+    "                    dirs.remove(\"mute\")\n",
+    "\n",
+    "                for filename in files:\n",
+    "                    if filename != \"last_backup_timestamps.txt\":\n",
+    "                        filepath = os.path.join(root, filename)\n",
+    "                        if os.path.isfile(filepath):\n",
+    "                            backup_filepath = os.path.join(\n",
+    "                                GOOGLE_DRIVE_PATH,\n",
+    "                                os.path.relpath(filepath, LOGS_FOLDER),\n",
+    "                            )\n",
+    "                            backup_folderpath = os.path.dirname(backup_filepath)\n",
+    "                            if not os.path.exists(backup_folderpath):\n",
+    "                                os.makedirs(backup_folderpath)\n",
+    "                            last_backup_timestamp = last_backup_timestamps.get(filepath)\n",
+    "                            current_timestamp = os.path.getmtime(filepath)\n",
+    "                            if (\n",
+    "                                last_backup_timestamp is None\n",
+    "                                or float(last_backup_timestamp) < current_timestamp\n",
+    "                            ):\n",
+    "                                shutil.copy2(filepath, backup_filepath)\n",
+    "                                last_backup_timestamps[filepath] = str(current_timestamp)\n",
+    "                                if last_backup_timestamp is None:\n",
+    "                                    new_files += 1\n",
+    "                                else:\n",
+    "                                    updated_files += 1\n",
+    "\n",
+    "\n",
+    "            for filepath in list(last_backup_timestamps.keys()):\n",
+    "                if not os.path.exists(filepath):\n",
+    "                    backup_filepath = os.path.join(\n",
+    "                        GOOGLE_DRIVE_PATH, os.path.relpath(filepath, LOGS_FOLDER)\n",
+    "                    )\n",
+    "                    if os.path.exists(backup_filepath):\n",
+    "                        os.remove(backup_filepath)\n",
+    "                        deleted_files += 1\n",
+    "                    del last_backup_timestamps[filepath]\n",
+    "\n",
+    "\n",
+    "            if updated_files > 0 or deleted_files > 0 or new_files > 0:\n",
+    "                print(f\"Backup Complete: {new_files} new, {updated_files} updated, {deleted_files} deleted.\")\n",
+    "                fully_updated = False\n",
+    "            elif not fully_updated:\n",
+    "                print(\"Files are up to date.\")\n",
+    "                fully_updated = True\n",
+    "\n",
+    "            with open(last_backup_timestamps_path, \"w\") as f:\n",
+    "                for filepath, timestamp in last_backup_timestamps.items():\n",
+    "                    f.write(f\"{filepath}:{timestamp}\\n\")\n",
+    "\n",
+    "            time.sleep(cooldown if fully_updated else 0.1)\n",
+    "\n",
+    "\n",
+    "        except Exception as error:\n",
+    "            print(f\"An error occurred during backup: {error}\")\n",
+    "\n",
+    "\n",
+    "if autobackups:\n",
+    "    autobackups = False\n",
+    "    print(\"Autobackup Disabled\")\n",
+    "else:\n",
+    "    autobackups = True\n",
+    "    print(\"Autobackup Enabled\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "cellView": "form",
+    "id": "-vIzj7pye8Z0"
+   },
+   "outputs": [],
+   "source": [
+    "# @title Setup new logs folder format\n",
+    "# @markdown Put the exact name you put as your Model Name in Applio.\n",
+    "modelname = \"My-Project\"  # @param {type:\"string\"}\n",
+    "logs_folder = f\"/content/program_ml/logs/{modelname}/\"\n",
+    "\n",
+    "import os\n",
+    "\n",
+    "folder_renames = {\n",
+    "    \"0_gt_wavs\": \"sliced_audios\",\n",
+    "    \"1_16k_wavs\": \"sliced_audios_16k\",\n",
+    "    \"2a_f0\": \"f0\",\n",
+    "    \"2b-f0nsf\": \"f0_voiced\",\n",
+    "    \"3_feature768\": \"v2_extracted\"\n",
+    "}\n",
+    "\n",
+    "def rename_folders(base_path, rename_dict):\n",
+    "    for old_name, new_name in rename_dict.items():\n",
+    "        old_path = os.path.join(base_path, old_name)\n",
+    "        new_path = os.path.join(base_path, new_name)\n",
+    "        if os.path.exists(old_path):\n",
+    "            os.rename(old_path, new_path)\n",
+    "            print(f\"Renamed {old_path} to {new_path}\")\n",
+    "        else:\n",
+    "            print(f\"Folder {old_path} does not exist\")\n",
+    "\n",
+    "rename_folders(logs_folder, folder_renames)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "cellView": "form",
+    "id": "ifV_vc4h4Uvx"
+   },
+   "outputs": [],
+   "source": [
+    "# @title Load a Backup\n",
+    "from google.colab import drive\n",
+    "import os\n",
+    "\n",
+    "# @markdown Put the exact name you put as your Model Name in Applio.\n",
+    "modelname = \"My-Project\"  # @param {type:\"string\"}\n",
+    "source_path = \"/content/drive/MyDrive/ApplioBackup/\" + modelname\n",
+    "destination_path = \"/content/program_ml/logs/\" + modelname\n",
+    "backup_timestamps_file = \"last_backup_timestamps.txt\"\n",
+    "if not os.path.exists(source_path):\n",
+    "    print(\n",
+    "        \"The model folder does not exist. Please verify the name is correct or check your Google Drive.\"\n",
+    "    )\n",
+    "else:\n",
+    "    time_ = os.path.join(\"/content/drive/MyDrive/ApplioBackup/\", backup_timestamps_file)\n",
+    "    time__ = os.path.join(\"/content/program_ml/logs/\", backup_timestamps_file)\n",
+    "    if os.path.exists(time_):\n",
+    "        shutil.copy(time_, time__)\n",
+    "    shutil.copytree(source_path, destination_path)\n",
+    "    print(\"Model backup loaded successfully.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "cellView": "form",
+    "id": "leWbhk1X4XoY"
+   },
+   "outputs": [],
+   "source": [
+    "# @title Download all custom pretrains\n",
+    "import os\n",
+    "import urllib.request\n",
+    "\n",
+    "%mkdir /content/program_ml/rvc/models/pretraineds/pretraineds_custom\n",
+    "pretrained_urls = [\n",
+    "    # Ov2 Super\n",
+    "    \"https://huggingface.co/ORVC/Ov2Super/resolve/main/f0Ov2Super32kG.pth\",\n",
+    "    \"https://huggingface.co/ORVC/Ov2Super/resolve/main/f0Ov2Super32kD.pth\",\n",
+    "    \"https://huggingface.co/ORVC/Ov2Super/resolve/main/f0Ov2Super40kG.pth\",\n",
+    "    \"https://huggingface.co/ORVC/Ov2Super/resolve/main/f0Ov2Super40kD.pth\",\n",
+    "\n",
+    "    # TITAN\n",
+    "    \"https://huggingface.co/blaise-tk/TITAN/resolve/main/models/medium/40k/pretrained/G-f040k-TITAN-Medium.pth\",\n",
+    "    \"https://huggingface.co/blaise-tk/TITAN/resolve/main/models/medium/40k/pretrained/D-f040k-TITAN-Medium.pth\",\n",
+    "    \"https://huggingface.co/blaise-tk/TITAN/resolve/main/models/medium/32k/pretrained/G-f032k-TITAN-Medium.pth\",\n",
+    "    \"https://huggingface.co/blaise-tk/TITAN/resolve/main/models/medium/32k/pretrained/D-f032k-TITAN-Medium.pth\",\n",
+    "\n",
+    "    # Snowie V3\n",
+    "    \"https://huggingface.co/MUSTAR/SnowieV3.1-32k/resolve/main/D_SnowieV3.1_32k.pth\",\n",
+    "    \"https://huggingface.co/MUSTAR/SnowieV3.1-32k/resolve/main/G_SnowieV3.1_32k.pth\",\n",
+    "    \"https://huggingface.co/MUSTAR/SnowieV3.1-40k/resolve/main/G_SnowieV3.1_40k.pth\",\n",
+    "    \"https://huggingface.co/MUSTAR/SnowieV3.1-40k/resolve/main/D_SnowieV3.1_40k.pth\",\n",
+    "    \"https://huggingface.co/MUSTAR/SnowieV3.1-48k/resolve/main/G_SnowieV3.1_48k.pth\",\n",
+    "    \"https://huggingface.co/MUSTAR/SnowieV3.1-48k/resolve/main/D_SnowieV3.1_48k.pth\",\n",
+    "\n",
+    "    # RIN E3\n",
+    "    \"https://huggingface.co/MUSTAR/RIN_E3/resolve/main/RIN_E3_G.pth\",\n",
+    "    \"https://huggingface.co/MUSTAR/RIN_E3/resolve/main/RIN_E3_D.pth\",\n",
+    "\n",
+    "    # KLM\n",
+    "    \"https://huggingface.co/SeoulStreamingStation/KLM4.1/resolve/main/D_KLM41_32k.pth\",\n",
+    "    \"https://huggingface.co/SeoulStreamingStation/KLM4.1/resolve/main/G_KLM41_32k.pth\",\n",
+    "    \"https://huggingface.co/SeoulStreamingStation/KLM4.1/resolve/main/D_KLM41_48k.pth\",\n",
+    "    \"https://huggingface.co/SeoulStreamingStation/KLM4.1/resolve/main/G_KLM41_48k.pth\",\n",
+    "\n",
+    "    # SnowieV3 X RIN_E3\n",
+    "    \"https://huggingface.co/MUSTAR/SnowieV3.1-X-RinE3-40K/resolve/main/D_Snowie-X-Rin_40k.pth\",\n",
+    "    \"https://huggingface.co/MUSTAR/SnowieV3.1-X-RinE3-40K/resolve/main/G_Snowie-X-Rin_40k.pth\",\n",
+    "]\n",
+    "output_directory = \"/content/program_ml/rvc/models/pretraineds/pretraineds_custom\"\n",
+    "for url in pretrained_urls:\n",
+    "    filename = os.path.join(output_directory, os.path.basename(url))\n",
+    "    urllib.request.urlretrieve(url, filename)"
+   ]
+  }
+ ],
+ "metadata": {
+  "accelerator": "GPU",
+  "colab": {
+   "collapsed_sections": [
+    "3b59-2x-qEnX"
+   ],
+   "gpuType": "T4",
+   "provenance": []
+  },
+  "kernelspec": {
+   "display_name": "Python 3",
+   "name": "python3"
+  },
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
 }
diff --git a/assets/Applio_Kaggle.ipynb b/assets/Applio_Kaggle.ipynb
index 0479b47c..439398e6 100644
--- a/assets/Applio_Kaggle.ipynb
+++ b/assets/Applio_Kaggle.ipynb
@@ -1,239 +1,239 @@
 {
-    "cells": [
-        {
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## **Applio**\n",
-                "A simple, high-quality voice conversion tool focused on ease of use and performance.\n",
-                "\n",
-                "[Support](https://discord.gg/urxFjYmYYh) — [Discord Bot](https://discord.com/oauth2/authorize?client_id=1144714449563955302&permissions=1376674695271&scope=bot%20applications.commands) — [Find Voices](https://applio.org/models) — [GitHub](https://github.com/IAHispano/Applio)\n",
-                "\n",
-                "<br>\n",
-                "\n",
-                "### **Credits**\n",
-                "- Encryption method: [Hina](https://github.com/hinabl)\n",
-                "- Main development: [Applio Team](https://github.com/IAHispano)"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## Install"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {
-                "trusted": true
-            },
-            "outputs": [],
-            "source": [
-                "import codecs\n",
-                "import os\n",
-                "import tarfile\n",
-                "import subprocess\n",
-                "from pathlib import Path\n",
-                "from IPython.display import clear_output\n",
-                "rot_47 = lambda encoded_text: \"\".join(\n",
-                "    [\n",
-                "        (\n",
-                "            chr(\n",
-                "                (ord(c) - (ord(\"a\") if c.islower() else ord(\"A\")) - 47) % 26\n",
-                "                + (ord(\"a\") if c.islower() else ord(\"A\"))\n",
-                "            )\n",
-                "            if c.isalpha()\n",
-                "            else c\n",
-                "        )\n",
-                "        for c in encoded_text\n",
-                "    ]\n",
-                ")\n",
-                "\n",
-                "new_name = rot_47(\"kmjbmvh_hg\")\n",
-                "findme = rot_47(codecs.decode(\"pbbxa://oqbpcj.kwu/Dqlitvb/qurwg-mtnqvlmz.oqb\", \"rot_13\"))\n",
-                "uioawhd = rot_47(codecs.decode(\"pbbxa://oqbpcj.kwu/QIPqaxivw/Ixxtqw.oqb\", \"rot_13\"))\n",
-                "!pip install uv\n",
-                "!git clone --depth 1 $uioawhd $new_name --branch 3.2.7\n",
-                "clear_output()\n",
-                "!mkdir -p /kaggle/tmp\n",
-                "%cd /kaggle/tmp\n",
-                "!uv venv .venv > /dev/null 2>&1\n",
-                "def vidal_setup(ForceIn):\n",
-                "    def F():\n",
-                "        print(\"Installing pip packages...\")\n",
-                "        subprocess.check_call([\"uv\", \"pip\", \"install\", \"-r\", \"requirements.txt\", \"--quiet\"])\n",
-                "\n",
-                "    A = \"/kaggle/working\" + rot_47(\"Kikpm.ovm.bu\")\n",
-                "    D = \"/kaggle/tmp\"\n",
-                "    if not os.path.exists(A):\n",
-                "        M = os.path.dirname(A)\n",
-                "        os.makedirs(M, exist_ok=True)\n",
-                "        print(\"No cached install found..\")\n",
-                "        try:\n",
-                "            N = rot_47(codecs.decode(\"pbbxa://pcooqvonikm.kw/QIPqaxivw/Ixxtqw/zmawtdm/uiqv/Mvdqzwumvb/Siootm/SiootmD2.biz.oh?lwevtwil=bzcm\", \"rot_13\"))\n",
-                "            subprocess.run([\"wget\",\"-q\" ,\"-O\", A, N])\n",
-                "            print(\"Download completed successfully!\")\n",
-                "        except Exception as H:\n",
-                "            print(str(H))\n",
-                "            if os.path.exists(A):\n",
-                "                os.remove(A)\n",
-                "    if Path(A).exists():\n",
-                "        with tarfile.open(A, \"r:gz\") as I:\n",
-                "            I.extractall(D)\n",
-                "            print(f\"Extraction of {A} to {D} completed.\")\n",
-                "        if os.path.exists(A):\n",
-                "            os.remove(A)\n",
-                "    else:\n",
-                "        F()\n",
-                "\n",
-                "vidal_setup(False)\n",
-                "%cd /kaggle/working/program_ml\n",
-                "!source /kaggle/tmp/.venv/bin/activate; python core.py \"prerequisites\" --models \"True\" --exe \"True\" --pretraineds_v1_f0 \"False\" --pretraineds_v2_f0 \"True\" --pretraineds_v1_nof0 \"False\" --pretraineds_v2_nof0 \"False\" > /dev/null 2>&1\n",
-                "!sudo curl -fsSL https://raw.githubusercontent.com/filebrowser/get/master/get.sh | sudo bash\n",
-                "!filebrowser config init\n",
-                "!filebrowser config set --auth.method=noauth\n",
-                "!filebrowser users add  \"applio\" \"\" --perm.admin\n",
-                "clear_output()\n",
-                "print(\"Finished\")"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## Setup Ngrok"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {
-                "trusted": true
-            },
-            "outputs": [],
-            "source": [
-                "#https://dashboard.ngrok.com/get-started/your-authtoken (Token Ngrok)\n",
-                "!pip install pyngrok\n",
-                "!ngrok config add-authtoken token"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## Start"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {
-                "trusted": true
-            },
-            "outputs": [],
-            "source": [
-                "import os\n",
-                "from pyngrok import ngrok\n",
-                "from IPython.display import clear_output\n",
-                "ngrok.kill()\n",
-                "%cd /kaggle/working/program_ml\n",
-                "os.system(f\"filebrowser -r /kaggle -p 9876 > /dev/null 2>&1 &\")\n",
-                "clear_output()\n",
-                "%load_ext tensorboard\n",
-                "%tensorboard --logdir logs --port 8077\n",
-                "p_tunnel = ngrok.connect(6969)\n",
-                "t_tunnel = ngrok.connect(8077)\n",
-                "f_tunnel = ngrok.connect(9876)\n",
-                "clear_output()\n",
-                "print(\"Applio Url:\", p_tunnel.public_url)\n",
-                "print(\"Tensorboard Url:\", t_tunnel.public_url)\n",
-                "print(\"File Url:\", f_tunnel.public_url)\n",
-                "print(\"Save the link for later, this will take a while...\")\n",
-                "\n",
-                "!source /kaggle/tmp/.venv/bin/activate; python app.py"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "metadata": {
-                "_kg_hide-input": false
-            },
-            "source": [
-                "## Extra"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## Setup new logs folder format\n",
-                "- Put the exact name you put as your Model Name in Applio."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "\n",
-                "modelname = \"Test\"\n",
-                "logs_folder = f\"/kaggle/working/program_ml/logs/\" + modelname\n",
-                "\n",
-                "import os\n",
-                "\n",
-                "folder_renames = {\n",
-                "    \"0_gt_wavs\": \"sliced_audios\",\n",
-                "    \"1_16k_wavs\": \"sliced_audios_16k\",\n",
-                "    \"2a_f0\": \"f0\",\n",
-                "    \"2b-f0nsf\": \"f0_voiced\",\n",
-                "    \"3_feature768\": \"v2_extracted\"\n",
-                "}\n",
-                "\n",
-                "def rename_folders(base_path, rename_dict):\n",
-                "    for old_name, new_name in rename_dict.items():\n",
-                "        old_path = os.path.join(base_path, old_name)\n",
-                "        new_path = os.path.join(base_path, new_name)\n",
-                "        if os.path.exists(old_path):\n",
-                "            os.rename(old_path, new_path)\n",
-                "            print(f\"Renamed {old_path} to {new_path}\")\n",
-                "        else:\n",
-                "            print(f\"Folder {old_path} does not exist\")\n",
-                "\n",
-                "rename_folders(logs_folder, folder_renames)\n"
-            ]
-        }
-    ],
-    "metadata": {
-        "kaggle": {
-            "accelerator": "nvidiaTeslaT4",
-            "dataSources": [],
-            "dockerImageVersionId": 30558,
-            "isGpuEnabled": true,
-            "isInternetEnabled": true,
-            "language": "python",
-            "sourceType": "notebook"
-        },
-        "kernelspec": {
-            "display_name": "Python 3",
-            "language": "python",
-            "name": "python3"
-        },
-        "language_info": {
-            "codemirror_mode": {
-                "name": "ipython",
-                "version": 3
-            },
-            "file_extension": ".py",
-            "mimetype": "text/x-python",
-            "name": "python",
-            "nbconvert_exporter": "python",
-            "pygments_lexer": "ipython3",
-            "version": "3.10.12"
-        }
-    },
-    "nbformat": 4,
-    "nbformat_minor": 4
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## **Applio**\n",
+    "A simple, high-quality voice conversion tool focused on ease of use and performance.\n",
+    "\n",
+    "[Support](https://discord.gg/urxFjYmYYh) — [Discord Bot](https://discord.com/oauth2/authorize?client_id=1144714449563955302&permissions=1376674695271&scope=bot%20applications.commands) — [GitHub](https://github.com/IAHispano/Applio)\n",
+    "\n",
+    "<br>\n",
+    "\n",
+    "### **Credits**\n",
+    "- Encryption method: [Hina](https://github.com/hinabl)\n",
+    "- Main development: [Applio Team](https://github.com/IAHispano)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Install"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "source": [
+    "import codecs\n",
+    "import os\n",
+    "import tarfile\n",
+    "import subprocess\n",
+    "from pathlib import Path\n",
+    "from IPython.display import clear_output\n",
+    "rot_47 = lambda encoded_text: \"\".join(\n",
+    "    [\n",
+    "        (\n",
+    "            chr(\n",
+    "                (ord(c) - (ord(\"a\") if c.islower() else ord(\"A\")) - 47) % 26\n",
+    "                + (ord(\"a\") if c.islower() else ord(\"A\"))\n",
+    "            )\n",
+    "            if c.isalpha()\n",
+    "            else c\n",
+    "        )\n",
+    "        for c in encoded_text\n",
+    "    ]\n",
+    ")\n",
+    "\n",
+    "new_name = rot_47(\"kmjbmvh_hg\")\n",
+    "findme = rot_47(codecs.decode(\"pbbxa://oqbpcj.kwu/Dqlitvb/qurwg-mtnqvlmz.oqb\", \"rot_13\"))\n",
+    "uioawhd = rot_47(codecs.decode(\"pbbxa://oqbpcj.kwu/QIPqaxivw/Ixxtqw.oqb\", \"rot_13\"))\n",
+    "!pip install uv\n",
+    "!git clone --depth 1 $uioawhd $new_name --branch 3.2.7\n",
+    "clear_output()\n",
+    "!mkdir -p /kaggle/tmp\n",
+    "%cd /kaggle/tmp\n",
+    "!uv venv .venv > /dev/null 2>&1\n",
+    "def vidal_setup(ForceIn):\n",
+    "    def F():\n",
+    "        print(\"Installing pip packages...\")\n",
+    "        subprocess.check_call([\"uv\", \"pip\", \"install\", \"-r\", \"requirements.txt\", \"--quiet\"])\n",
+    "\n",
+    "    A = \"/kaggle/working\" + rot_47(\"Kikpm.ovm.bu\")\n",
+    "    D = \"/kaggle/tmp\"\n",
+    "    if not os.path.exists(A):\n",
+    "        M = os.path.dirname(A)\n",
+    "        os.makedirs(M, exist_ok=True)\n",
+    "        print(\"No cached install found..\")\n",
+    "        try:\n",
+    "            N = rot_47(codecs.decode(\"pbbxa://pcooqvonikm.kw/QIPqaxivw/Ixxtqw/zmawtdm/uiqv/Mvdqzwumvb/Siootm/SiootmD2.biz.oh?lwevtwil=bzcm\", \"rot_13\"))\n",
+    "            subprocess.run([\"wget\",\"-q\" ,\"-O\", A, N])\n",
+    "            print(\"Download completed successfully!\")\n",
+    "        except Exception as H:\n",
+    "            print(str(H))\n",
+    "            if os.path.exists(A):\n",
+    "                os.remove(A)\n",
+    "    if Path(A).exists():\n",
+    "        with tarfile.open(A, \"r:gz\") as I:\n",
+    "            I.extractall(D)\n",
+    "            print(f\"Extraction of {A} to {D} completed.\")\n",
+    "        if os.path.exists(A):\n",
+    "            os.remove(A)\n",
+    "    else:\n",
+    "        F()\n",
+    "\n",
+    "vidal_setup(False)\n",
+    "%cd /kaggle/working/program_ml\n",
+    "!source /kaggle/tmp/.venv/bin/activate; python core.py \"prerequisites\" --models \"True\" --exe \"True\" --pretraineds_v1_f0 \"False\" --pretraineds_v2_f0 \"True\" --pretraineds_v1_nof0 \"False\" --pretraineds_v2_nof0 \"False\" > /dev/null 2>&1\n",
+    "!sudo curl -fsSL https://raw.githubusercontent.com/filebrowser/get/master/get.sh | sudo bash\n",
+    "!filebrowser config init\n",
+    "!filebrowser config set --auth.method=noauth\n",
+    "!filebrowser users add  \"applio\" \"\" --perm.admin\n",
+    "clear_output()\n",
+    "print(\"Finished\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Setup Ngrok"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "source": [
+    "#https://dashboard.ngrok.com/get-started/your-authtoken (Token Ngrok)\n",
+    "!pip install pyngrok\n",
+    "!ngrok config add-authtoken token"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Start"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "from pyngrok import ngrok\n",
+    "from IPython.display import clear_output\n",
+    "ngrok.kill()\n",
+    "%cd /kaggle/working/program_ml\n",
+    "os.system(f\"filebrowser -r /kaggle -p 9876 > /dev/null 2>&1 &\")\n",
+    "clear_output()\n",
+    "%load_ext tensorboard\n",
+    "%tensorboard --logdir logs --port 8077\n",
+    "p_tunnel = ngrok.connect(6969)\n",
+    "t_tunnel = ngrok.connect(8077)\n",
+    "f_tunnel = ngrok.connect(9876)\n",
+    "clear_output()\n",
+    "print(\"Applio Url:\", p_tunnel.public_url)\n",
+    "print(\"Tensorboard Url:\", t_tunnel.public_url)\n",
+    "print(\"File Url:\", f_tunnel.public_url)\n",
+    "print(\"Save the link for later, this will take a while...\")\n",
+    "\n",
+    "!source /kaggle/tmp/.venv/bin/activate; python app.py"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "_kg_hide-input": false
+   },
+   "source": [
+    "## Extra"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Setup new logs folder format\n",
+    "- Put the exact name you put as your Model Name in Applio."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "modelname = \"Test\"\n",
+    "logs_folder = f\"/kaggle/working/program_ml/logs/\" + modelname\n",
+    "\n",
+    "import os\n",
+    "\n",
+    "folder_renames = {\n",
+    "    \"0_gt_wavs\": \"sliced_audios\",\n",
+    "    \"1_16k_wavs\": \"sliced_audios_16k\",\n",
+    "    \"2a_f0\": \"f0\",\n",
+    "    \"2b-f0nsf\": \"f0_voiced\",\n",
+    "    \"3_feature768\": \"v2_extracted\"\n",
+    "}\n",
+    "\n",
+    "def rename_folders(base_path, rename_dict):\n",
+    "    for old_name, new_name in rename_dict.items():\n",
+    "        old_path = os.path.join(base_path, old_name)\n",
+    "        new_path = os.path.join(base_path, new_name)\n",
+    "        if os.path.exists(old_path):\n",
+    "            os.rename(old_path, new_path)\n",
+    "            print(f\"Renamed {old_path} to {new_path}\")\n",
+    "        else:\n",
+    "            print(f\"Folder {old_path} does not exist\")\n",
+    "\n",
+    "rename_folders(logs_folder, folder_renames)\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kaggle": {
+   "accelerator": "nvidiaTeslaT4",
+   "dataSources": [],
+   "dockerImageVersionId": 30558,
+   "isGpuEnabled": true,
+   "isInternetEnabled": true,
+   "language": "python",
+   "sourceType": "notebook"
+  },
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
 }
diff --git a/assets/Applio_NoUI.ipynb b/assets/Applio_NoUI.ipynb
index 28172661..e7f5941b 100644
--- a/assets/Applio_NoUI.ipynb
+++ b/assets/Applio_NoUI.ipynb
@@ -9,7 +9,7 @@
     "## **Applio NoUI**\n",
     "A simple, high-quality voice conversion tool focused on ease of use and performance. \n",
     "\n",
-    "[Support](https://discord.gg/urxFjYmYYh) — [Discord Bot](https://discord.com/oauth2/authorize?client_id=1144714449563955302&permissions=1376674695271&scope=bot%20applications.commands) — [Find Voices](https://applio.org/models) — [GitHub](https://github.com/IAHispano/Applio)\n",
+    "[Support](https://discord.gg/urxFjYmYYh) — [Discord Bot](https://discord.com/oauth2/authorize?client_id=1144714449563955302&permissions=1376674695271&scope=bot%20applications.commands) — [GitHub](https://github.com/IAHispano/Applio)\n",
     "\n",
     "<br>\n",
     "\n",