Spaces:
Runtime error
Runtime error
File size: 13,831 Bytes
08ff08a |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 |
{
"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) — [GitHub](https://github.com/IAHispano/Applio) — [Terms of Use](https://github.com/IAHispano/Applio/blob/main/TERMS_OF_USE.md)\n",
"\n",
"<br>\n",
"\n",
"---\n",
"\n",
"<br>\n",
"\n",
"#### **Acknowledgments**\n",
"\n",
"To all external collaborators for their special help in the following areas: Hina (Encryption method), Poopmaster (Extra section), Shirou (UV installer)\n",
"\n",
"#### **Disclaimer**\n",
"By using Applio, you agree to comply with ethical and legal standards, respect intellectual property and privacy rights, avoid harmful or prohibited uses, and accept full responsibility for any outcomes, while Applio disclaims liability and reserves the right to amend these terms."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"id": "vtON700qokuQ"
},
"outputs": [],
"source": [
"# @title **Install Applio**\n",
"import sys\n",
"from IPython.display import clear_output\n",
"import codecs\n",
"import os\n",
"\n",
"encoded_url = \"uggcf://tvguho.pbz/VNUvfcnab/Nccyvb/\"\n",
"decoded_url = codecs.decode(encoded_url, \"rot_13\")\n",
"\n",
"repo_name_encoded = \"Nccyvb\"\n",
"repo_name = codecs.decode(repo_name_encoded, \"rot_13\")\n",
"\n",
"!pip install -q uv\n",
"\n",
"!git clone --depth 1 {decoded_url} --branch 3.2.8-bugfix --single-branch\n",
"%cd {repo_name}\n",
"clear_output()\n",
"\n",
"print(\"Installing requirements...\")\n",
"!uv pip install -r requirements.txt -q --prerelease if-necessary-or-explicit\n",
"!uv pip install torch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1 \\\n",
" --index-url https://download.pytorch.org/whl/cu121 \\\n",
" -q --prerelease if-necessary-or-explicit\n",
"!uv pip install numpy==1.26.4 gradio==5.23.1 pyngrok -q --prerelease if-necessary-or-explicit\n",
"\n",
"clear_output()\n",
"print(\"✅ Finished installing requirements!\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"id": "nAlXiNYnFH9F"
},
"outputs": [],
"source": [
"# @title **Start Applio**\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",
"ngrok_token = \"If you selected the 'ngrok' method, obtain your auth token here: https://dashboard.ngrok.com/get-started/your-authtoken\" # @param {type:\"string\"}\n",
"tensorboard = True #@param {type: \"boolean\"}\n",
"\n",
"def start_gradio():\n",
" !python app.py --listen --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 6969 >> 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 app.py --listen\n",
"\n",
"\n",
"def start_ngrok():\n",
" try:\n",
" ngrok.set_auth_token(ngrok_token)\n",
" ngrok.kill()\n",
" tunnel = ngrok.connect(6969)\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_applio():\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",
" %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",
"\n",
"while True:\n",
" time.sleep(5)"
]
},
{
"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/Applio/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": "ifV_vc4h4Uvx"
},
"outputs": [],
"source": [
"# @title Load a Backup\n",
"import os\n",
"import shutil\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/Applio/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/Applio/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.\")"
]
}
],
"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
}
|