Spaces:
Running
Running
File size: 9,341 Bytes
96134ee |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 |
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/github/TheNeodev/RVC-MAKER/blob/main/webui.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"source": [
"# RVC MAKER 🎵"
],
"metadata": {
"id": "vOlZ8mQ0XMpC"
}
},
{
"cell_type": "markdown",
"source": [
"**This project was created by [TheNeoDev](https://github.com/TheNeodev)** base on [PhamHuynhAnh16/Vietnamese-RVC](https://github.com/PhamHuynhAnh16/Vietnamese-RVC)\n",
"\n",
"---"
],
"metadata": {
"id": "nwKyFp0aaJsS"
}
},
{
"cell_type": "markdown",
"metadata": {
"id": "LVAACnvlmE4I"
},
"source": [
"\n",
"\n",
"<big>**Please do not use the project for any purposes that violate ethics, laws, or cause harm to individuals, organizations...**\n",
"\n",
"---\n",
" **In case the user does not comply with the terms or violates them, I will not be responsible for any claims, damages, or legal liabilities, whether in contract, due to negligence, or other reasons, arising from, out of, or related to the software, the use of the software, or other transactions related to the software.**</big>"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"id": "BJeRif5jjL5s"
},
"outputs": [],
"source": [
"#@title **🌟Settings**\n",
"\n",
"import os\n",
"from ipywidgets import Button\n",
"from IPython.display import clear_output\n",
"print(\"👩🏻💻 INSTALLING...\")\n",
"\n",
"os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\n",
"\n",
"!git clone https://github.com/unchCrew/RVC-MAKER.git /content/RVC-MAKER > /dev/null 2>&1\n",
"!pip install -r /content/RVC-MAKER/requirements.txt --no-cache-dir -q > /dev/null 2>&1\n",
"!pip install pyngrok --no-cache-dir -q > /dev/null 2>&1\n",
"\n",
"#@markdown **💻 Installation will take about 2 minutes to complete!**\n",
"clear_output()\n",
"Button(description=\"\\u2714 done!\", button_style=\"success\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "cIsBEvHaQWMJ",
"cellView": "form"
},
"outputs": [],
"source": [
"#@title **Run webui**\n",
"import os\n",
"import shutil\n",
"\n",
"%cd /content/RVC-MAKER\n",
"#@markdown **To experience all the features, use the interface :)**\n",
"\n",
"#@markdown **If you know you can use the tensorboard to check for overtraining 👍**\n",
"tensorboard = False #@param {type:\"boolean\"}\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"# @markdown ### Choose a sharing method:\n",
"\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",
"from pyngrok import ngrok\n",
"os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\n",
"\n",
"method = \"gradio\" # @param [\"gradio\", \"localtunnel\", \"ngrok\"]\n",
"\n",
"\n",
"#@markdown If you selected the 'ngrok' method, obtain your auth token here: https://dashboard.ngrok.com/get-started/your-authtoken\n",
"ngrok_token = \"\" # @param {type:\"string\"}\n",
"\n",
"def start_gradio():\n",
" !python main/app/app.py --share\n",
"\n",
"def start_localtunnel():\n",
" !npm install -g localtunnel &>/dev/null\n",
" with open('url.txt', 'w') as file:\n",
" file.write('')\n",
" get_ipython().system_raw('lt --port 7860 >> url.txt 2>&1 &')\n",
" time.sleep(2)\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",
" !python main/app/app.py\n",
"\n",
"\n",
"def start_ngrok():\n",
" try:\n",
" ngrok.set_auth_token(ngrok_token)\n",
" ngrok.kill()\n",
" tunnel = ngrok.connect(7860)\n",
" print(f\"Ngrok URL: \\033[0m\\033[93m{tunnel.public_url}\\033[0m\", end=\"\\033[0m\\n\")\n",
" !python app.py --listen\n",
" except Exception as e:\n",
" print(f\"Error starting ngrok: {e}\")\n",
"\n",
"def start_app():\n",
" if method == 'gradio':\n",
" start_gradio()\n",
" elif method == 'localtunnel':\n",
" start_localtunnel()\n",
" elif method == 'ngrok':\n",
" start_ngrok()\n",
"\n",
"if tensorboard:\n",
" %load_ext tensorboard\n",
" %tensorboard --logdir ./assets/logs --port=6870\n",
"\n",
"\n",
"thread_app = threading.Thread(target=start_app)\n",
"thread_app.start()\n",
"\n",
"\n",
"while True:\n",
" time.sleep(5)"
]
},
{
"cell_type": "markdown",
"source": [
"# Extra"
],
"metadata": {
"id": "OVg-SqBKXIFL"
}
},
{
"cell_type": "code",
"source": [
"\n",
"#@title upload model to HF model\n",
"repo_hf = \"NeoPy/TTS-G\" # @param {type:\"string\"}\n",
"pth = \"/content/RVC-MAKER/assets/weights/TTS_100e_500s.pth\" # @param {type:\"string\"}\n",
"index = \"/content/RVC-MAKER/assets/logs/TTS/added_IVF59_Flat_nprobe_1_TTS_v2.index\" # @param {type:\"string\"}\n",
"\n",
"#@markdown get token on https://huggingface.co/settings/tokens\n",
"\n",
"token = \"hf_\" # @param {type:\"string\"}\n",
"\n",
"\n",
"import huggingface_hub\n",
"import zipfile\n",
"import os\n",
"def upload_model(repo, pth, index, token):\n",
" \"\"\"\n",
" Upload a model to the Hugging Face Hub\n",
"\n",
" Args:\n",
" repo: str, the name of the repository (including user/org, e.g., \"username/repo_name\")\n",
" pth: str, path to the model file\n",
" index: str, the index of the model in the repository\n",
" token: str, the API token\n",
"\n",
" Returns:\n",
" str, message indicating the success of the operation\n",
" \"\"\"\n",
" readme = f\"\"\"\n",
" # {repo}\n",
" This is a model uploaded by RVC Maker, using [NeoDev](https://github.com/TheNeodev)'s script.\n",
" \"\"\"\n",
" repo_name = repo.split('/')[1]\n",
" with zipfile.ZipFile(f'{repo_name}.zip', 'w') as zipf:\n",
" zipf.write(pth, os.path.basename(pth))\n",
" zipf.write(index, os.path.basename(index))\n",
" zipf.writestr('README.md', readme)\n",
"\n",
" # Corrected: Pass the repo_id directly as the first argument\n",
" huggingface_hub.HfApi().create_repo(repo_id=repo, token=token, exist_ok=True)\n",
" # Change 'path' to 'path_or_fileobj' as per the error and common usage in newer versions\n",
" huggingface_hub.HfApi().upload_file(token=token, path_or_fileobj=f'{repo.split(\"/\")[1]}.zip', repo_id=repo, path_in_repo=f'{repo.split(\"/\")[1]}.zip')\n",
" os.remove(f'{repo.split(\"/\")[1]}.zip')\n",
" return \"Model uploaded successfully\"\n",
"\n",
"\n",
"upload_model(repo_hf, pth, index, token)"
],
"metadata": {
"cellView": "form",
"id": "Y1Jke8epTHFj"
},
"execution_count": null,
"outputs": []
}
],
"metadata": {
"accelerator": "GPU",
"colab": {
"collapsed_sections": [
"tkqks7bO2Cye",
"XP4ifZaG_yd5",
"ekfkFFNqppfM",
"ers351v_CMGN"
],
"gpuType": "T4",
"provenance": [],
"include_colab_link": true
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
} |