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ai-voice-cloning/notebook.ipynb

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{
"nbformat":4,
"nbformat_minor":0,
"metadata":{
"colab":{
"private_outputs":true,
"provenance":[
]
},
"kernelspec":{
"name":"python3",
"display_name":"Python 3"
},
"language_info":{
"name":"python"
},
"accelerator":"GPU",
"gpuClass":"standard"
},
"cells":[
{
"cell_type":"markdown",
"source":[
"## Initialization"
],
"metadata":{
"id":"ni41hmE03DL6"
}
},
{
"cell_type":"code",
"execution_count":null,
"metadata":{
"id":"FtsMKKfH18iM"
},
"outputs":[
],
"source":[
"!git clone https://git.ecker.tech/mrq/ai-voice-cloning/\n",
"%cd ai-voice-cloning\n",
"!python -m pip install --upgrade pip\n",
"!pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu116\n",
"!python -m pip install -r ./requirements.txt"
]
},
{
"cell_type":"code",
"source":[
"# colab requires the runtime to restart before use\n",
"exit()"
],
"metadata":{
"id":"FVUOtSASCSJ8"
},
"execution_count":null,
"outputs":[
]
},
{
"cell_type":"markdown",
"source":[
"## Running"
],
"metadata":{
"id":"o1gkfw3B3JSk"
}
},
{
"cell_type":"code",
"source":[
"%cd /content/ai-voice-cloning\n",
"\n",
"import os\n",
"import sys\n",
"\n",
"sys.argv = [\"\"]\n",
"sys.path.append('./src/')\n",
"\n",
"if 'TORTOISE_MODELS_DIR' not in os.environ:\n",
"\tos.environ['TORTOISE_MODELS_DIR'] = os.path.realpath(os.path.join(os.getcwd(), './models/tortoise/'))\n",
"\n",
"if 'TRANSFORMERS_CACHE' not in os.environ:\n",
"\tos.environ['TRANSFORMERS_CACHE'] = os.path.realpath(os.path.join(os.getcwd(), './models/transformers/'))\n",
"\n",
"from utils import *\n",
"from webui import *\n",
"\n",
"args = setup_args()\n",
"\n",
"webui = setup_gradio()\n",
"tts = setup_tortoise()\n",
"webui.launch(share=True, prevent_thread_lock=True, height=1000)\n",
"webui.block_thread()"
],
"metadata":{
"id":"c_EQZLTA19c7"
},
"execution_count":null,
"outputs":[
]
},
{
"cell_type":"markdown",
"source":[
"## Exporting"
],
"metadata":{
"id":"2AnVQxEJx47p"
}
},
{
"cell_type":"code",
"source":[
"%cd /content/ai-voice-cloning\n",
"!apt install -y p7zip-full\n",
"from datetime import datetime\n",
"timestamp = datetime.now().strftime('%m-%d-%Y_%H:%M:%S')\n",
"!mkdir -p \"../{timestamp}\"\n",
"!mv ./results/* \"../{timestamp}/.\"\n",
"!7z a -t7z -m0=lzma2 -mx=9 -mfb=64 -md=32m -ms=on \"../{timestamp}.7z\" \"../{timestamp}/\"\n",
"!ls ~/\n",
"!echo \"Finished zipping, archive is available at {timestamp}.7z\""
],
"metadata":{
"id":"YOACiDCXx72G"
},
"execution_count":null,
"outputs":[
]
}
]
}