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{
"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
}
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