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| Original file line number | Diff line number | Diff line change |
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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/IAHispano) — [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 shutil\n","import tarfile\n","import subprocess\n","from pathlib import Path\n","from IPython.display import clear_output, Javascript\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 3.2.6\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","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":["from pyngrok import ngrok\n","ngrok.kill()\n","%cd /kaggle/working/program_ml\n","os.system(f\". /kaggle/tmp/.venv/bin/activate; imjoy-elfinder --root-dir=/kaggle --port 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) — [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 shutil\n", | ||
| "import tarfile\n", | ||
| "import subprocess\n", | ||
| "from pathlib import Path\n", | ||
| "from IPython.display import clear_output, Javascript\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 3.2.6\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", | ||
| "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": [ | ||
| "from pyngrok import ngrok\n", | ||
| "ngrok.kill()\n", | ||
| "%cd /kaggle/working/program_ml\n", | ||
| "os.system(f\". /kaggle/tmp/.venv/bin/activate; imjoy-elfinder --root-dir=/kaggle --port 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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