assets/Applio_Kaggle.ipynb

{"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 3.2.4\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\" --pretraineds_v1 \"False\" --pretraineds_v2 \"True\" --models \"True\" --exe \"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}