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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "45857cb2",
"metadata": {
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"shell.execute_reply": "2024-02-18T14:48:10.723059Z"
},
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"end_time": "2024-02-18T14:48:10.726613",
"exception": false,
"start_time": "2024-02-18T14:43:46.731678",
"status": "completed"
},
"tags": []
},
"outputs": [],
"source": [
"!git clone https://github.com/RVC-Boss/GPT-SoVITS.git\n",
"%cd GPT-SoVITS\n",
"!apt-get update && apt-get install -y --no-install-recommends tzdata ffmpeg libsox-dev parallel aria2 git git-lfs && git lfs install\n",
"!pip install -r requirements.txt"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b9d346b4",
"metadata": {
"execution": {
"iopub.execute_input": "2024-02-18T14:48:10.815802Z",
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},
"papermill": {
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"end_time": "2024-02-18T14:50:31.255720",
"exception": false,
"start_time": "2024-02-18T14:48:10.770827",
"status": "completed"
},
"tags": []
},
"outputs": [],
"source": [
"# @title Download pretrained models 下载预训练模型\n",
"!mkdir -p /kaggle/working/GPT-SoVITS/GPT_SoVITS/pretrained_models\n",
"!mkdir -p /kaggle/working/GPT-SoVITS/tools/damo_asr/models\n",
"!mkdir -p /kaggle/working/GPT-SoVITS/tools/uvr5\n",
"%cd /kaggle/working/GPT-SoVITS/GPT_SoVITS/pretrained_models\n",
"!git clone https://huggingface.co./lj1995/GPT-SoVITS\n",
"%cd /kaggle/working/GPT-SoVITS/tools/damo_asr/models\n",
"!git clone https://www.modelscope.cn/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch.git\n",
"!git clone https://www.modelscope.cn/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch.git\n",
"!git clone https://www.modelscope.cn/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch.git\n",
"# # @title UVR5 pretrains 安装uvr5模型\n",
"%cd /kaggle/working/GPT-SoVITS/tools/uvr5\n",
"!git clone https://huggingface.co./Delik/uvr5_weights\n",
"!git config core.sparseCheckout true\n",
"!mv /kaggle/working/GPT-SoVITS/GPT_SoVITS/pretrained_models/GPT-SoVITS/* /kaggle/working/GPT-SoVITS/GPT_SoVITS/pretrained_models/"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ea94d245",
"metadata": {
"execution": {
"iopub.execute_input": "2024-02-18T14:29:01.071549Z",
"iopub.status.busy": "2024-02-18T14:29:01.070592Z",
"iopub.status.idle": "2024-02-18T14:40:45.318368Z",
"shell.execute_reply": "2024-02-18T14:40:45.317130Z",
"shell.execute_reply.started": "2024-02-18T14:29:01.071512Z"
},
"papermill": {
"duration": null,
"end_time": null,
"exception": false,
"start_time": "2024-02-18T14:50:31.309013",
"status": "running"
},
"tags": []
},
"outputs": [],
"source": [
"# @title launch WebUI 启动WebUI\n",
"%cd /kaggle/working/GPT-SoVITS/\n",
"!npm install -g localtunnel\n",
"import subprocess\n",
"import threading\n",
"import time\n",
"import socket\n",
"import urllib.request\n",
"def iframe_thread(port):\n",
" while True:\n",
" time.sleep(0.5)\n",
" sock= socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n",
" result = sock.connect_ex(('127.0.0.1', port))\n",
" if result == 0:\n",
" break\n",
" sock.close()\n",
"\n",
" from colorama import Fore, Style\n",
" print (Fore.GREEN + \"\\nIP: \", Fore. RED, urllib.request.urlopen('https://ipv4.icanhazip.com').read().decode('utf8').strip(\"\\n\"), \"\\n\", Style. RESET_ALL)\n",
" p = subprocess.Popen([\"lt\", \"--port\", \"{}\".format(port)], stdout=subprocess.PIPE)\n",
" for line in p.stdout:\n",
" print(line.decode(), end='')\n",
"threading.Thread (target=iframe_thread, daemon=True, args=(9874,)).start()\n",
"\n",
"!python webui.py"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "dda88a6d",
"metadata": {
"execution": {
"iopub.execute_input": "2024-02-18T14:40:56.880608Z",
"iopub.status.busy": "2024-02-18T14:40:56.879879Z"
},
"papermill": {
"duration": null,
"end_time": null,
"exception": null,
"start_time": null,
"status": "pending"
},
"tags": []
},
"outputs": [],
"source": [
"# 开启推理页面\n",
"%cd /kaggle/working/GPT-SoVITS/\n",
"!npm install -g localtunnel\n",
"import subprocess\n",
"import threading\n",
"import time\n",
"import socket\n",
"import urllib.request\n",
"def iframe_thread(port):\n",
" while True:\n",
" time.sleep(0.5)\n",
" sock= socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n",
" result = sock.connect_ex(('127.0.0.1', port))\n",
" if result == 0:\n",
" break\n",
" sock.close()\n",
"\n",
" from colorama import Fore, Style\n",
" print (Fore.GREEN + \"\\nIP: \", Fore. RED, urllib.request.urlopen('https://ipv4.icanhazip.com').read().decode('utf8').strip(\"\\n\"), \"\\n\", Style. RESET_ALL)\n",
" p = subprocess.Popen([\"lt\", \"--port\", \"{}\".format(port)], stdout=subprocess.PIPE)\n",
" for line in p.stdout:\n",
" print(line.decode(), end='')\n",
"threading.Thread (target=iframe_thread, daemon=True, args=(9872,)).start()\n",
"\n",
"!python ./GPT_SoVITS/inference_webui.py"
]
}
],
"metadata": {
"kaggle": {
"accelerator": "nvidiaTeslaT4",
"dataSources": [
{
"datasetId": 4459328,
"sourceId": 7649639,
"sourceType": "datasetVersion"
}
],
"dockerImageVersionId": 30646,
"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": "3.10.13"
},
"papermill": {
"default_parameters": {},
"duration": null,
"end_time": null,
"environment_variables": {},
"exception": null,
"input_path": "__notebook__.ipynb",
"output_path": "__notebook__.ipynb",
"parameters": {},
"start_time": "2024-02-18T14:43:44.011910",
"version": "2.5.0"
}
},
"nbformat": 4,
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}
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