Spaces:
No application file
No application file
File size: 3,622 Bytes
535f4ed |
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 |
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "39k2mOCNAh6J"
},
"source": [
"[](https://colab.research.google.com/github/SociallyIneptWeeb/AICoverGen/blob/main/AICoverGen_colab.ipynb)"
]
},
{
"cell_type": "markdown",
"source": [
"# AICoverGen WebUI\n",
"\n",
"Simply click `Runtime` in the top navigation bar and `Run all`. Wait for the output of the final cell to show the public gradio url and click on it."
],
"metadata": {
"id": "YYVAKuNBc-X4"
}
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "vC4gLMHI9xb3",
"cellView": "form"
},
"outputs": [],
"source": [
"#@title Clone repository\n",
"from IPython.display import clear_output, Javascript\n",
"import codecs\n",
"import threading\n",
"import time\n",
"cloneing=codecs.decode('uggcf://tvguho.pbz/FbpvnyylVarcgJrro/NVPbireTra.tvg','rot_13')\n",
"!git clone $cloneing HRVC\n",
"def update_timer_and_print():\n",
" global timer\n",
" while True:\n",
" hours, remainder = divmod(timer, 3600)\n",
" minutes, seconds = divmod(remainder, 60)\n",
" timer_str = f'{hours:02}:{minutes:02}:{seconds:02}'\n",
" print(f'\\rTimer: {timer_str}', end='', flush=True) # Print without a newline\n",
" time.sleep(1)\n",
" timer += 1\n",
"timer = 0\n",
"threading.Thread(target=update_timer_and_print, daemon=True).start()\n",
"\n",
"!rm -rf sample_data\n",
"%cd HRVC\n",
"clear_output()\n",
"print(\"Done Cloning Repository\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"id": "odzpJHpr_PaF"
},
"outputs": [],
"source": [
"#@title Install requirements\n",
"!pip install -q -r requirements.txt\n",
"clear_output()\n",
"print(\"Finished Installing Requirements\")\n",
"!sudo apt update\n",
"clear_output()\n",
"print(\"Finished Updating\")\n",
"!sudo apt install sox\n",
"clear_output()\n",
"print(\"Finsihed running this cell, proceed to the next cell\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"id": "SLWpcJc0AHSZ"
},
"outputs": [],
"source": [
"#@title Download MDXNet Vocal Separation and Hubert Base Models\n",
"models=codecs.decode('fep/qbjaybnq_zbqryf.cl','rot_13')\n",
"!python $models\n",
"clear_output()\n",
"print(\"Finished Downloading Voice Separation Model and Hubert Base Model\")"
]
},
{
"cell_type": "code",
"source": [
"#@title Run WebUI\n",
"runpice=codecs.decode('fep/jrohv.cl','rot_13')\n",
"!python $runpice --share"
],
"metadata": {
"cellView": "form",
"id": "NEglTq6Ya9d0"
},
"execution_count": null,
"outputs": []
}
],
"metadata": {
"accelerator": "GPU",
"colab": {
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
|