Viewing File: /home/ubuntu/codegamaai-test/voice_clone/notebooks/.ipynb_checkpoints/RVC_Clone-checkpoint.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 19,
"id": "d714ec09",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "de0bc82a07684c66aa442c58852e4c97",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Button(button_style='success', description='✔ Success', style=ButtonStyle())"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"!pip install gradio\n",
"clear_output()\n",
"Button(description=\"\\u2714 Success\", button_style=\"success\")"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "e3527ddf",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/home/haive/voice_clone_rvc\n"
]
}
],
"source": [
"cd /home/haive/voice_clone_rvc"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "97f77d88",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[0m\u001b[01;34mdataset\u001b[0m/ RVC_Clone.ipynb \u001b[01;34mrvc_implementation\u001b[0m/ \u001b[01;34mVoiceConversionWebUI\u001b[0m/\r\n"
]
}
],
"source": [
"ls"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "33b91808",
"metadata": {},
"outputs": [],
"source": [
"from IPython.display import clear_output\n",
"from ipywidgets import Button\n",
"import os"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "dab76631",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"--2023-11-16 08:07:36-- https://huggingface.co/Rejekts/project/resolve/main/project-main.zip\n",
"Resolving huggingface.co (huggingface.co)... 18.238.49.10, 18.238.49.70, 18.238.49.112, ...\n",
"Connecting to huggingface.co (huggingface.co)|18.238.49.10|:443... connected.\n",
"HTTP request sent, awaiting response... 302 Found\n",
"Location: https://cdn-lfs.huggingface.co/repos/75/c8/75c8d4b069a1863fc7f85ffabaff4b3755f0b320f4254aad27abf080b56d6f7c/dcfb833d0514f8d3558abb5fca9975f9093c75ff7b316fd395e2b80e358a3769?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27project-main.zip%3B+filename%3D%22project-main.zip%22%3B&response-content-type=application%2Fzip&Expires=1700381256&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcwMDM4MTI1Nn19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5odWdnaW5nZmFjZS5jby9yZXBvcy83NS9jOC83NWM4ZDRiMDY5YTE4NjNmYzdmODVmZmFiYWZmNGIzNzU1ZjBiMzIwZjQyNTRhYWQyN2FiZjA4MGI1NmQ2ZjdjL2RjZmI4MzNkMDUxNGY4ZDM1NThhYmI1ZmNhOTk3NWY5MDkzYzc1ZmY3YjMxNmZkMzk1ZTJiODBlMzU4YTM3Njk%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qJnJlc3BvbnNlLWNvbnRlbnQtdHlwZT0qIn1dfQ__&Signature=Cm3Upo7Zibh5fREHF0nlLLA%7ERCalOW3PNa-xHM1%7EaPFAFb939GyZVIbFhTGT2ZDHa2pdxxfW4BCIX-umB78-oZWECCthqa7n4IEnKjNj2dPwdNGiv6PrtsbazKvW10DeLT18tR9xYKoj5HJpC37eLqrRIlc7ZM6WcDEUD03XcpecoyX0IWCYSnnIoG9RhbYZ2D0ovU%7EYHJd3HE1EFBZZECekHdu-C46RHbuz-cnrD9LYf5-VeVlp1rKmVd92dgz72-65Q39Yfa1c%7EP1vQST8jC1x0AA3ogcaVLsFEXacQ71hlWi70-mDiCNn2DF1XXRoTDuCBVJJFYWwKdZ3AEGUYw__&Key-Pair-Id=KVTP0A1DKRTAX [following]\n",
"--2023-11-16 08:07:36-- https://cdn-lfs.huggingface.co/repos/75/c8/75c8d4b069a1863fc7f85ffabaff4b3755f0b320f4254aad27abf080b56d6f7c/dcfb833d0514f8d3558abb5fca9975f9093c75ff7b316fd395e2b80e358a3769?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27project-main.zip%3B+filename%3D%22project-main.zip%22%3B&response-content-type=application%2Fzip&Expires=1700381256&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcwMDM4MTI1Nn19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5odWdnaW5nZmFjZS5jby9yZXBvcy83NS9jOC83NWM4ZDRiMDY5YTE4NjNmYzdmODVmZmFiYWZmNGIzNzU1ZjBiMzIwZjQyNTRhYWQyN2FiZjA4MGI1NmQ2ZjdjL2RjZmI4MzNkMDUxNGY4ZDM1NThhYmI1ZmNhOTk3NWY5MDkzYzc1ZmY3YjMxNmZkMzk1ZTJiODBlMzU4YTM3Njk%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qJnJlc3BvbnNlLWNvbnRlbnQtdHlwZT0qIn1dfQ__&Signature=Cm3Upo7Zibh5fREHF0nlLLA%7ERCalOW3PNa-xHM1%7EaPFAFb939GyZVIbFhTGT2ZDHa2pdxxfW4BCIX-umB78-oZWECCthqa7n4IEnKjNj2dPwdNGiv6PrtsbazKvW10DeLT18tR9xYKoj5HJpC37eLqrRIlc7ZM6WcDEUD03XcpecoyX0IWCYSnnIoG9RhbYZ2D0ovU%7EYHJd3HE1EFBZZECekHdu-C46RHbuz-cnrD9LYf5-VeVlp1rKmVd92dgz72-65Q39Yfa1c%7EP1vQST8jC1x0AA3ogcaVLsFEXacQ71hlWi70-mDiCNn2DF1XXRoTDuCBVJJFYWwKdZ3AEGUYw__&Key-Pair-Id=KVTP0A1DKRTAX\n",
"Resolving cdn-lfs.huggingface.co (cdn-lfs.huggingface.co)... 18.164.116.15, 18.164.116.111, 18.164.116.106, ...\n",
"Connecting to cdn-lfs.huggingface.co (cdn-lfs.huggingface.co)|18.164.116.15|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 1510847 (1.4M) [application/zip]\n",
"Saving to: ‘/home/haive/voice_clone_rvc/project-main.zip’\n",
"\n",
"/home/haive/voice_c 100%[===================>] 1.44M --.-KB/s in 0.04s \n",
"\n",
"2023-11-16 08:07:36 (34.8 MB/s) - ‘/home/haive/voice_clone_rvc/project-main.zip’ saved [1510847/1510847]\n",
"\n",
"Archive: project-main.zip\n",
"1938c86022d19218de9a37c2af53423ea111b80e\n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/.env \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/.github/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/.github/PULL_REQUEST_TEMPLATE.md \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/.github/workflows/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/.github/workflows/docker.yml \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/.github/workflows/genlocale.yml \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/.github/workflows/pull_format.yml \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/.github/workflows/push_format.yml \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/.github/workflows/unitest.yml \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/.gitignore \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/Dockerfile \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/GUI.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/LICENSE \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/MIT协议暨相关引用库协议 \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/README.md \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/Retrieval_based_Voice_Conversion_WebUI.ipynb \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/Retrieval_based_Voice_Conversion_WebUI_v2.ipynb \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/a.png \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/app.py \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/assets/\n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/assets/hubert/\n",
" extracting: /home/haive/voice_clone_rvc/rvc_implementation/project-main/assets/hubert/.gitignore \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/assets/pretrained/\n",
" extracting: /home/haive/voice_clone_rvc/rvc_implementation/project-main/assets/pretrained/.gitignore \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/assets/pretrained_v2/\n",
" extracting: /home/haive/voice_clone_rvc/rvc_implementation/project-main/assets/pretrained_v2/.gitignore \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/assets/rmvpe/\n",
" extracting: /home/haive/voice_clone_rvc/rvc_implementation/project-main/assets/rmvpe/.gitignore \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/assets/uvr5_weights/\n",
" extracting: /home/haive/voice_clone_rvc/rvc_implementation/project-main/assets/uvr5_weights/.gitignore \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/assets/weights/\n",
" extracting: /home/haive/voice_clone_rvc/rvc_implementation/project-main/assets/weights/.gitignore \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/audios/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/audios/somegirl.mp3 \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/audios/someguy.mp3 \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/audios/unachica.mp3 \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/audios/unchico.mp3 \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/configs/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/configs/config.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/configs/config.py \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/configs/v1/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/configs/v1/32k.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/configs/v1/40k.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/configs/v1/48k.json \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/configs/v2/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/configs/v2/32k.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/configs/v2/48k.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docker-compose.yml \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/\n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/cn/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/cn/Changelog_CN.md \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/cn/faq.md \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/en/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/en/Changelog_EN.md \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/en/README.en.md \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/en/faiss_tips_en.md \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/en/faq_en.md \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/en/training_tips_en.md \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/fr/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/fr/Changelog_FR.md \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/fr/README.fr.md \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/fr/faiss_tips_fr.md \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/fr/faq_fr.md \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/fr/training_tips_fr.md \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/jp/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/jp/README.ja.md \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/jp/faiss_tips_ja.md \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/jp/training_tips_ja.md \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/kr/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/kr/Changelog_KO.md \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/kr/README.ko.han.md \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/kr/README.ko.md \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/kr/faiss_tips_ko.md \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/kr/training_tips_ko.md \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/tr/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/tr/Changelog_TR.md \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/tr/README.tr.md \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/tr/faiss_tips_tr.md \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/tr/faq_tr.md \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/tr/training_tips_tr.md \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/docs/小白简易教程.doc \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/download_files.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/environment_dml.yaml \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/go-realtime-gui-dml.bat \n",
" extracting: /home/haive/voice_clone_rvc/rvc_implementation/project-main/go-realtime-gui.bat \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/go-web-dml.bat \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/go-web.bat \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/gui_v1.py \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/i18n/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/i18n/i18n.py \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/i18n/locale/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/i18n/locale/en_US.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/i18n/locale/es_ES.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/i18n/locale/fr_FR.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/i18n/locale/it_IT.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/i18n/locale/ja_JP.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/i18n/locale/ru_RU.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/i18n/locale/tr_TR.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/i18n/locale/zh_CN.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/i18n/locale/zh_HK.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/i18n/locale/zh_SG.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/i18n/locale/zh_TW.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/i18n/locale_diff.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/i18n/scan_i18n.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer-web.py \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/\n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/audio.py \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/infer_pack/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/infer_pack/attentions.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/infer_pack/commons.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/infer_pack/models.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/infer_pack/models_onnx.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/infer_pack/modules.py \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/infer_pack/modules/\n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/infer_pack/modules/F0Predictor/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/infer_pack/modules/F0Predictor/DioF0Predictor.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/infer_pack/modules/F0Predictor/F0Predictor.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/infer_pack/modules/F0Predictor/HarvestF0Predictor.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/infer_pack/modules/F0Predictor/PMF0Predictor.py \n",
" extracting: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/infer_pack/modules/F0Predictor/__init__.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/infer_pack/onnx_inference.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/infer_pack/transforms.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/rmvpe.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/slicer2.py \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/train/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/train/data_utils.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/train/losses.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/train/mel_processing.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/train/process_ckpt.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/train/utils.py \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/\n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/dataset.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/layers.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/layers_123812KB .py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/layers_123821KB.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/layers_33966KB.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/layers_537227KB.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/layers_537238KB.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/layers_new.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/model_param_init.py \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/modelparams/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/modelparams/1band_sr16000_hl512.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/modelparams/1band_sr32000_hl512.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/modelparams/1band_sr33075_hl384.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/modelparams/1band_sr44100_hl1024.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/modelparams/1band_sr44100_hl256.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/modelparams/1band_sr44100_hl512.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/modelparams/1band_sr44100_hl512_cut.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/modelparams/2band_32000.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/modelparams/2band_44100_lofi.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/modelparams/2band_48000.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/modelparams/3band_44100.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/modelparams/3band_44100_mid.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/modelparams/3band_44100_msb2.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/modelparams/4band_44100.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/modelparams/4band_44100_mid.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/modelparams/4band_44100_msb.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/modelparams/4band_44100_msb2.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/modelparams/4band_44100_reverse.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/modelparams/4band_44100_sw.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/modelparams/4band_v2.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/modelparams/4band_v2_sn.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/modelparams/4band_v3.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/modelparams/ensemble.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/nets.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/nets_123812KB.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/nets_123821KB.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/nets_33966KB.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/nets_537227KB.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/nets_537238KB.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/nets_61968KB.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/nets_new.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/lib_v5/spec_utils.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/name_params.json \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/lib/uvr5_pack/utils.py \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/\n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/ipex/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/ipex/__init__.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/ipex/attention.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/ipex/gradscaler.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/ipex/hijacks.py \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/onnx/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/onnx/export.py \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/train/\n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/train/extract/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/train/extract/extract_f0_print.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/train/extract/extract_f0_rmvpe.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/train/extract/extract_f0_rmvpe_dml.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/train/extract_feature_print.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/train/preprocess.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/train/train.py \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/uvr5/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/uvr5/mdxnet.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/uvr5/modules.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/uvr5/preprocess.py \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/vc/\n",
" extracting: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/vc/__init__.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/vc/modules.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/vc/pipeline.py \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/vc/utils.py \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/logs/\n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/logs/mute/\n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/logs/mute/0_gt_wavs/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/logs/mute/0_gt_wavs/mute32k.wav \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/logs/mute/0_gt_wavs/mute40k.wav \n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/logs/mute/0_gt_wavs/mute48k.wav \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/logs/mute/1_16k_wavs/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/logs/mute/1_16k_wavs/mute.wav \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/logs/mute/2a_f0/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/logs/mute/2a_f0/mute.wav.npy \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/logs/mute/2b-f0nsf/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/logs/mute/2b-f0nsf/mute.wav.npy \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/logs/mute/3_feature256/\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/logs/mute/3_feature256/mute.npy \n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/logs/mute/3_feature768/\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/logs/mute/3_feature768/mute.npy \r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/poetry.lock \r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/pyproject.toml \r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/requirements-dml.txt \r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/requirements-ipex.txt \r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/requirements-safe.txt \r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/requirements-win-for-realtime_vc_gui-dml.txt \r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/requirements-win-for-realtime_vc_gui.txt \r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/requirements.txt \r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/run.sh \r\n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/tools/\r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/tools/app.py \r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/tools/calc_rvc_model_similarity.py \r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/tools/dlmodels.bat \r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/tools/dlmodels.sh \r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/tools/export_onnx.py \r\n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/tools/infer/\r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/tools/infer/infer-pm-index256.py \r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/tools/infer/train-index-v2.py \r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/tools/infer/train-index.py \r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/tools/infer/trans_weights.py \r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/tools/infer_batch_rvc.py \r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/tools/infer_cli.py \r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/tools/onnx_inference_demo.py \r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/tools/rvc_for_realtime.py \r\n",
" creating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/tools/torchgate/\r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/tools/torchgate/__init__.py \r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/tools/torchgate/torchgate.py \r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/tools/torchgate/utils.py \r\n",
" inflating: /home/haive/voice_clone_rvc/rvc_implementation/project-main/venv.sh \r\n"
]
}
],
"source": [
"if not os.path.exists('/home/haive/voice_clone_rvc'):\n",
" print(\"Folder Not Available. Creating New Folder.\")\n",
" os.makedirs('/home/haive/voice_clone_rvc')\n",
"source = \"Rejekts\"\n",
"!wget https://huggingface.co/{source}/project/resolve/main/project-main.zip -O '/home/haive/voice_clone_rvc/project-main.zip' && unzip -n 'project-main.zip' -d /home/haive/voice_clone_rvc/rvc_implementation/\n"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "1bbc6f88",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "ed6ee79a9645425f827960d9b7ab81e1",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Button(button_style='success', description='✔ Success', style=ButtonStyle())"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"!cd '/home/haive/voice_clone_rvc/rvc_implementation/project-main' && python download_files.py && pip install -r 'requirements-safe.txt'\n",
"!pip install pyngrok\n",
"!rm /home/haive/voice_clone_rvc/project-main.zip\n",
"!rm -r /home/haive/voice_clone_rvc/sample_data\n",
"!mkdir -p /home/haive/voice_clone_rvc/dataset\n",
"clear_output()\n",
"Button(description=\"\\u2714 Success\", button_style=\"success\")"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "692fd3d2",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "3699bafea0cd40e19b709fefd9b4fddc",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Button(button_style='success', description='✔ Success', style=ButtonStyle())"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#@title 1.Preprocess Data\n",
"%cd /home/haive/voice_clone_rvc/rvc_implementation/project-main\n",
"model_name = 'test2' #@param {type:\"string\"}\n",
"#@markdown <small> Enter the path to your dataset folder (a folder with audios of the vocals you will train on), or if you want just upload the audios using the File Manager into the 'dataset' folder.\n",
"dataset_folder = '/home/haive/voice_clone_rvc/dataset/test2' #@param {type:\"string\"}\n",
"while len(os.listdir(dataset_folder)) < 1:\n",
" input(\"Your dataset folder is empty.\")\n",
"!mkdir -p ./logs/{model_name}\n",
"with open(f'./logs/{model_name}/preprocess.log','w') as f:\n",
" print(\"Starting...\")\n",
"!python infer/modules/train/preprocess.py {dataset_folder} 40000 2 ./logs/{model_name} False 3.0 > /dev/null 2>&1\n",
"with open(f'./logs/{model_name}/preprocess.log','r') as f:\n",
" if 'end preprocess' in f.read():\n",
" clear_output()\n",
" display(Button(description=\"\\u2714 Success\", button_style=\"success\"))\n",
" else:\n",
" print(\"Error preprocessing data... Make sure your dataset folder is correct.\")"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "1699772d",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "e6eeaffb9c6c4252a2bb8a3d828a2d02",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Button(button_style='success', description='✔ Success', style=ButtonStyle())"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#@title 2.Extract Features\n",
"f0method = \"rmvpe_gpu\" # @param [\"pm\", \"harvest\", \"rmvpe\", \"rmvpe_gpu\"]\n",
"%cd /home/haive/voice_clone_rvc/rvc_implementation/project-main\n",
"with open(f'./logs/{model_name}/extract_f0_feature.log','w') as f:\n",
" print(\"Starting...\")\n",
"if f0method != \"rmvpe_gpu\":\n",
" !python infer/modules/train/extract/extract_f0_print.py ./logs/{model_name} 2 {f0method}\n",
"else:\n",
" !python infer/modules/train/extract/extract_f0_rmvpe.py 1 0 0 ./logs/{model_name} True\n",
"!python infer/modules/train/extract_feature_print.py cuda:0 1 0 0 ./logs/{model_name} v2\n",
"with open(f'./logs/{model_name}/extract_f0_feature.log','r') as f:\n",
" if 'all-feature-done' in f.read():\n",
" clear_output()\n",
" display(Button(description=\"\\u2714 Success\", button_style=\"success\"))\n",
" else:\n",
" print(\"Error preprocessing data... Make sure your data was preprocessed.\")"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "fbe7950c",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "e93dd320bea0408cb7bb2974b3f5ecf4",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Button(button_style='success', description='✔ Success', style=ButtonStyle())"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#@title 3.Train Index\n",
"import numpy as np\n",
"import faiss\n",
"%cd /home/haive/voice_clone_rvc/rvc_implementation/project-main\n",
"def train_index(exp_dir1, version19):\n",
" exp_dir = \"logs/%s\" % (exp_dir1)\n",
" os.makedirs(exp_dir, exist_ok=True)\n",
" feature_dir = (\n",
" \"%s/3_feature256\" % (exp_dir)\n",
" if version19 == \"v1\"\n",
" else \"%s/3_feature768\" % (exp_dir)\n",
" )\n",
" if not os.path.exists(feature_dir):\n",
" return \"feature_dir path doesn't exist\"\n",
" listdir_res = list(os.listdir(feature_dir))\n",
" if len(listdir_res) == 0:\n",
" return \"feature_dir path doesn't contain any data\"\n",
" infos = []\n",
" npys = []\n",
" for name in sorted(listdir_res):\n",
" phone = np.load(\"%s/%s\" % (feature_dir, name))\n",
" npys.append(phone)\n",
" big_npy = np.concatenate(npys, 0)\n",
" big_npy_idx = np.arange(big_npy.shape[0])\n",
" np.random.shuffle(big_npy_idx)\n",
" big_npy = big_npy[big_npy_idx]\n",
" if big_npy.shape[0] > 2e5:\n",
" infos.append(\"Trying doing kmeans %s shape to 10k centers.\" % big_npy.shape[0])\n",
" yield \"\\n\".join(infos)\n",
" try:\n",
" big_npy = (\n",
" MiniBatchKMeans(\n",
" n_clusters=10000,\n",
" verbose=True,\n",
" batch_size=256 * config.n_cpu,\n",
" compute_labels=False,\n",
" init=\"random\",\n",
" )\n",
" .fit(big_npy)\n",
" .cluster_centers_\n",
" )\n",
" except:\n",
" info = traceback.format_exc()\n",
" logger.info(info)\n",
" infos.append(info)\n",
" yield \"\\n\".join(infos)\n",
"\n",
" np.save(\"%s/total_fea.npy\" % exp_dir, big_npy)\n",
" n_ivf = min(int(16 * np.sqrt(big_npy.shape[0])), big_npy.shape[0] // 39)\n",
" infos.append(\"%s,%s\" % (big_npy.shape, n_ivf))\n",
" yield \"\\n\".join(infos)\n",
" index = faiss.index_factory(256 if version19 == \"v1\" else 768, \"IVF%s,Flat\" % n_ivf)\n",
" infos.append(\"training\")\n",
" yield \"\\n\".join(infos)\n",
" index_ivf = faiss.extract_index_ivf(index) #\n",
" index_ivf.nprobe = 1\n",
" index.train(big_npy)\n",
" faiss.write_index(\n",
" index,\n",
" \"%s/trained_IVF%s_Flat_nprobe_%s_%s_%s.index\"\n",
" % (exp_dir, n_ivf, index_ivf.nprobe, exp_dir1, version19),\n",
" )\n",
"\n",
" infos.append(\"adding\")\n",
" yield \"\\n\".join(infos)\n",
" batch_size_add = 8192\n",
" for i in range(0, big_npy.shape[0], batch_size_add):\n",
" index.add(big_npy[i : i + batch_size_add])\n",
" faiss.write_index(\n",
" index,\n",
" \"%s/added_IVF%s_Flat_nprobe_%s_%s_%s.index\"\n",
" % (exp_dir, n_ivf, index_ivf.nprobe, exp_dir1, version19),\n",
" )\n",
" infos.append(\n",
" \"成功构建索引，added_IVF%s_Flat_nprobe_%s_%s_%s.index\"\n",
" % (n_ivf, index_ivf.nprobe, exp_dir1, version19)\n",
" )\n",
"\n",
"training_log = train_index(model_name, 'v2')\n",
"\n",
"for line in training_log:\n",
" print(line)\n",
" if 'adding' in line:\n",
" clear_output()\n",
" display(Button(description=\"\\u2714 Success\", button_style=\"success\"))"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "837f2efe",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Authtoken saved to configuration file: /home/haive/.ngrok2/ngrok.yml\n",
"/home/haive/voice_clone_rvc/rvc_implementation/project-main\n",
"The tensorboard extension is already loaded. To reload it, use:\n",
" %reload_ext tensorboard\n"
]
},
{
"data": {
"text/plain": [
"Reusing TensorBoard on port 8888 (pid 2720241), started 4:48:04 ago. (Use '!kill 2720241' to kill it.)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n",
" <iframe id=\"tensorboard-frame-36254e2cd81499cd\" width=\"100%\" height=\"800\" frameborder=\"0\">\n",
" </iframe>\n",
" <script>\n",
" (function() {\n",
" const frame = document.getElementById(\"tensorboard-frame-36254e2cd81499cd\");\n",
" const url = new URL(\"/\", window.location);\n",
" const port = 8888;\n",
" if (port) {\n",
" url.port = port;\n",
" }\n",
" frame.src = url;\n",
" })();\n",
" </script>\n",
" "
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Tensorboard NGROK URL:NgrokTunnel: \"https://b5a7-162-244-83-121.ngrok-free.app\" -> \"http://localhost:8888\"\n",
"Write filelist done\n",
"Use gpus: 0\n",
"INFO:test2:{'data': {'filter_length': 2048, 'hop_length': 400, 'max_wav_value': 32768.0, 'mel_fmax': None, 'mel_fmin': 0.0, 'n_mel_channels': 125, 'sampling_rate': 40000, 'win_length': 2048, 'training_files': './logs/test2/filelist.txt'}, 'model': {'filter_channels': 768, 'gin_channels': 256, 'hidden_channels': 192, 'inter_channels': 192, 'kernel_size': 3, 'n_heads': 2, 'n_layers': 6, 'p_dropout': 0, 'resblock': '1', 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'resblock_kernel_sizes': [3, 7, 11], 'spk_embed_dim': 109, 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'upsample_rates': [10, 10, 2, 2], 'use_spectral_norm': False}, 'train': {'batch_size': 7, 'betas': [0.8, 0.99], 'c_kl': 1.0, 'c_mel': 45, 'epochs': 20000, 'eps': 1e-09, 'fp16_run': True, 'init_lr_ratio': 1, 'learning_rate': 0.0001, 'log_interval': 200, 'lr_decay': 0.999875, 'seed': 1234, 'segment_size': 12800, 'warmup_epochs': 0}, 'model_dir': './logs/test2', 'experiment_dir': './logs/test2', 'save_every_epoch': 50, 'name': 'test2', 'total_epoch': 250, 'pretrainG': 'assets/pretrained_v2/f0G40k.pth', 'pretrainD': 'assets/pretrained_v2/f0D40k.pth', 'version': 'v2', 'gpus': '0', 'sample_rate': '40k', 'if_f0': 1, 'if_latest': 1, 'save_every_weights': '1', 'if_cache_data_in_gpu': 0}\n",
"/home/haive/miniconda3/envs/rvc_clone/lib/python3.9/site-packages/torch/nn/utils/weight_norm.py:30: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.\n",
"warnings.warn(\"torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.\")\n",
"DEBUG:infer.lib.infer_pack.models:gin_channels: 256, self.spk_embed_dim: 109\n",
"DEBUG:test2:./logs/test2/D_2333333.pth\n",
"INFO:test2:Loaded model weights\n",
"INFO:test2:Loaded checkpoint './logs/test2/D_2333333.pth' (epoch 250)\n",
"INFO:test2:loaded D\n",
"DEBUG:test2:./logs/test2/G_2333333.pth\n",
"INFO:test2:Loaded model weights\n",
"INFO:test2:Loaded checkpoint './logs/test2/G_2333333.pth' (epoch 250)\n",
"/home/haive/miniconda3/envs/rvc_clone/lib/python3.9/site-packages/torch/functional.py:650: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.\n",
"Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at ../aten/src/ATen/native/SpectralOps.cpp:863.)\n",
"return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]\n",
"/home/haive/miniconda3/envs/rvc_clone/lib/python3.9/site-packages/torch/autograd/__init__.py:251: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed. This is not an error, but may impair performance.\n",
"grad.sizes() = [64, 1, 4], strides() = [4, 1, 1]\n",
"bucket_view.sizes() = [64, 1, 4], strides() = [4, 4, 1] (Triggered internally at ../torch/csrc/distributed/c10d/reducer.cpp:320.)\n",
"Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass\n",
"INFO:test2:Saving model and optimizer state at epoch 250 to ./logs/test2/G_2333333.pth\n",
"INFO:test2:Saving model and optimizer state at epoch 250 to ./logs/test2/D_2333333.pth\n",
"INFO:test2:saving ckpt test2_e250:Success.\n",
"INFO:test2:====> Epoch: 250 [2023-11-16 13:23:10] | (0:00:20.716771)\n",
"INFO:test2:Training is done. The program is closed.\n",
"INFO:test2:saving final ckpt:Success.\n",
"/home/haive/miniconda3/envs/rvc_clone/lib/python3.9/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 20 leaked semaphore objects to clean up at shutdown\n",
"warnings.warn('resource_tracker: There appear to be %d '\n",
"训练结束, 您可查看控制台训练日志或实验文件夹下的train.log\n"
]
}
],
"source": [
"#@title 4.Train Model\n",
"#@markdown <small> Enter your ngrok authtoken to open tensorboard. Get one here: https://dashboard.ngrok.com/get-started/your-authtoken\n",
"ngrok_authtoken = \"2VsTppE0Z0NEkYGk5BiSotnQRhT_3fqLxdic8Aqg9EZ29cpnL\"#@param {type:\"string\"}\n",
"!ngrok config add-authtoken {ngrok_authtoken}\n",
"%cd /home/haive/voice_clone_rvc/rvc_implementation/project-main\n",
"from random import shuffle\n",
"import json\n",
"import os\n",
"import pathlib\n",
"from subprocess import Popen, PIPE, STDOUT\n",
"from pyngrok import ngrok\n",
"now_dir=os.getcwd()\n",
"#@markdown <small> Enter the name of your model again. It must be the same you chose before.\n",
"model_name = 'test2' #@param {type:\"string\"}\n",
"#@markdown <small> Choose how often to save the model and how much training you want it to have.\n",
"save_frequency = 50 # @param {type:\"slider\", min:5, max:50, step:5}\n",
"epochs = 250 # @param {type:\"slider\", min:10, max:1000, step:10}\n",
"#@markdown <small> ONLY cache datasets under 10 minutes long. Otherwise leave this unchecked.\n",
"cache = False #@param {type:\"boolean\"}\n",
"# Remove the logging setup\n",
"\n",
"def click_train(\n",
" exp_dir1,\n",
" sr2,\n",
" if_f0_3,\n",
" spk_id5,\n",
" save_epoch10,\n",
" total_epoch11,\n",
" batch_size12,\n",
" if_save_latest13,\n",
" pretrained_G14,\n",
" pretrained_D15,\n",
" gpus16,\n",
" if_cache_gpu17,\n",
" if_save_every_weights18,\n",
" version19,\n",
"):\n",
" # 生成filelist\n",
" exp_dir = \"%s/logs/%s\" % (now_dir, exp_dir1)\n",
" os.makedirs(exp_dir, exist_ok=True)\n",
" gt_wavs_dir = \"%s/0_gt_wavs\" % (exp_dir)\n",
" feature_dir = (\n",
" \"%s/3_feature256\" % (exp_dir)\n",
" if version19 == \"v1\"\n",
" else \"%s/3_feature768\" % (exp_dir)\n",
" )\n",
" if if_f0_3:\n",
" f0_dir = \"%s/2a_f0\" % (exp_dir)\n",
" f0nsf_dir = \"%s/2b-f0nsf\" % (exp_dir)\n",
" names = (\n",
" set([name.split(\".\")[0] for name in os.listdir(gt_wavs_dir)])\n",
" & set([name.split(\".\")[0] for name in os.listdir(feature_dir)])\n",
" & set([name.split(\".\")[0] for name in os.listdir(f0_dir)])\n",
" & set([name.split(\".\")[0] for name in os.listdir(f0nsf_dir)])\n",
" )\n",
" else:\n",
" names = set([name.split(\".\")[0] for name in os.listdir(gt_wavs_dir)]) & set(\n",
" [name.split(\".\")[0] for name in os.listdir(feature_dir)]\n",
" )\n",
" opt = []\n",
" for name in names:\n",
" if if_f0_3:\n",
" opt.append(\n",
" \"%s/%s.wav|%s/%s.npy|%s/%s.wav.npy|%s/%s.wav.npy|%s\"\n",
" % (\n",
" gt_wavs_dir.replace(\"\\\\\", \"\\\\\\\\\"),\n",
" name,\n",
" feature_dir.replace(\"\\\\\", \"\\\\\\\\\"),\n",
" name,\n",
" f0_dir.replace(\"\\\\\", \"\\\\\\\\\"),\n",
" name,\n",
" f0nsf_dir.replace(\"\\\\\", \"\\\\\\\\\"),\n",
" name,\n",
" spk_id5,\n",
" )\n",
" )\n",
" else:\n",
" opt.append(\n",
" \"%s/%s.wav|%s/%s.npy|%s\"\n",
" % (\n",
" gt_wavs_dir.replace(\"\\\\\", \"\\\\\\\\\"),\n",
" name,\n",
" feature_dir.replace(\"\\\\\", \"\\\\\\\\\"),\n",
" name,\n",
" spk_id5,\n",
" )\n",
" )\n",
" fea_dim = 256 if version19 == \"v1\" else 768\n",
" if if_f0_3:\n",
" for _ in range(2):\n",
" opt.append(\n",
" \"%s/logs/mute/0_gt_wavs/mute%s.wav|%s/logs/mute/3_feature%s/mute.npy|%s/logs/mute/2a_f0/mute.wav.npy|%s/logs/mute/2b-f0nsf/mute.wav.npy|%s\"\n",
" % (now_dir, sr2, now_dir, fea_dim, now_dir, now_dir, spk_id5)\n",
" )\n",
" else:\n",
" for _ in range(2):\n",
" opt.append(\n",
" \"%s/logs/mute/0_gt_wavs/mute%s.wav|%s/logs/mute/3_feature%s/mute.npy|%s\"\n",
" % (now_dir, sr2, now_dir, fea_dim, spk_id5)\n",
" )\n",
" shuffle(opt)\n",
" with open(\"%s/filelist.txt\" % exp_dir, \"w\") as f:\n",
" f.write(\"\\n\".join(opt))\n",
"\n",
" # Replace logger.debug, logger.info with print statements\n",
" print(\"Write filelist done\")\n",
" print(\"Use gpus:\", str(gpus16))\n",
" if pretrained_G14 == \"\":\n",
" print(\"No pretrained Generator\")\n",
" if pretrained_D15 == \"\":\n",
" print(\"No pretrained Discriminator\")\n",
" if version19 == \"v1\" or sr2 == \"40k\":\n",
" config_path = \"configs/v1/%s.json\" % sr2\n",
" else:\n",
" config_path = \"configs/v2/%s.json\" % sr2\n",
" config_save_path = os.path.join(exp_dir, \"config.json\")\n",
" if not pathlib.Path(config_save_path).exists():\n",
" with open(config_save_path, \"w\", encoding=\"utf-8\") as f:\n",
" with open(config_path, \"r\") as config_file:\n",
" config_data = json.load(config_file)\n",
" json.dump(\n",
" config_data,\n",
" f,\n",
" ensure_ascii=False,\n",
" indent=4,\n",
" sort_keys=True,\n",
" )\n",
" f.write(\"\\n\")\n",
"\n",
" cmd = (\n",
" 'python infer/modules/train/train.py -e \"%s\" -sr %s -f0 %s -bs %s -g %s -te %s -se %s %s %s -l %s -c %s -sw %s -v %s'\n",
" % (\n",
" exp_dir1,\n",
" sr2,\n",
" 1 if if_f0_3 else 0,\n",
" batch_size12,\n",
" gpus16,\n",
" total_epoch11,\n",
" save_epoch10,\n",
" \"-pg %s\" % pretrained_G14 if pretrained_G14 != \"\" else \"\",\n",
" \"-pd %s\" % pretrained_D15 if pretrained_D15 != \"\" else \"\",\n",
" 1 if if_save_latest13 == True else 0,\n",
" 1 if if_cache_gpu17 == True else 0,\n",
" 1 if if_save_every_weights18 == True else 0,\n",
" version19,\n",
" )\n",
" )\n",
" # Use PIPE to capture the output and error streams\n",
" p = Popen(cmd, shell=True, cwd=now_dir, stdout=PIPE, stderr=STDOUT, bufsize=1, universal_newlines=True)\n",
"\n",
" # Print the command's output as it runs\n",
" for line in p.stdout:\n",
" print(line.strip())\n",
"\n",
" # Wait for the process to finish\n",
" p.wait()\n",
" return \"训练结束, 您可查看控制台训练日志或实验文件夹下的train.log\"\n",
"%load_ext tensorboard\n",
"%tensorboard --logdir ./logs --port=8888\n",
"print(\"Tensorboard NGROK URL:\",end=\"\")\n",
"try:\n",
" ngrok_url = ngrok.connect(8888)\n",
" print(ngrok_url)\n",
" training_log = click_train(\n",
" model_name,\n",
" '40k',\n",
" True,\n",
" 0,\n",
" save_frequency,\n",
" epochs,\n",
" 7,\n",
" True,\n",
" 'assets/pretrained_v2/f0G40k.pth',\n",
" 'assets/pretrained_v2/f0D40k.pth',\n",
" 0,\n",
" cache,\n",
" True,\n",
" 'v2',\n",
" )\n",
" print(training_log)\n",
"except:\n",
" ngrok.kill()"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "d04566ac",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/home/haive/voice_clone_rvc/rvc_implementation/project-main\n",
"2023-11-16 09:36:40 | INFO | faiss.loader | Loading faiss with AVX2 support.\n",
"2023-11-16 09:36:40 | INFO | faiss.loader | Successfully loaded faiss with AVX2 support.\n",
"Traceback (most recent call last):\n",
" File \"/home/haive/voice_clone_rvc/rvc_implementation/project-main/app.py\", line 33, in <module>\n",
" from infer.modules.uvr5.modules import uvr\n",
" File \"/home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/uvr5/modules.py\", line 11, in <module>\n",
" from infer.modules.uvr5.mdxnet import MDXNetDereverb\n",
" File \"/home/haive/voice_clone_rvc/rvc_implementation/project-main/infer/modules/uvr5/mdxnet.py\", line 6, in <module>\n",
" import librosa\n",
" File \"/home/haive/miniconda3/envs/rvc_clone/lib/python3.9/site-packages/librosa/__init__.py\", line 209, in <module>\n",
" from . import core\n",
" File \"/home/haive/miniconda3/envs/rvc_clone/lib/python3.9/site-packages/librosa/core/__init__.py\", line 5, in <module>\n",
" from .convert import * # pylint: disable=wildcard-import\n",
" File \"/home/haive/miniconda3/envs/rvc_clone/lib/python3.9/site-packages/librosa/core/convert.py\", line 7, in <module>\n",
" from . import notation\n",
" File \"/home/haive/miniconda3/envs/rvc_clone/lib/python3.9/site-packages/librosa/core/notation.py\", line 8, in <module>\n",
" from ..util.exceptions import ParameterError\n",
" File \"/home/haive/miniconda3/envs/rvc_clone/lib/python3.9/site-packages/librosa/util/__init__.py\", line 77, in <module>\n",
" from .utils import * # pylint: disable=wildcard-import\n",
" File \"/home/haive/miniconda3/envs/rvc_clone/lib/python3.9/site-packages/librosa/util/utils.py\", line 9, in <module>\n",
" import numba\n",
" File \"/home/haive/miniconda3/envs/rvc_clone/lib/python3.9/site-packages/numba/__init__.py\", line 42, in <module>\n",
" from numba.np.ufunc import (vectorize, guvectorize, threading_layer,\n",
" File \"/home/haive/miniconda3/envs/rvc_clone/lib/python3.9/site-packages/numba/np/ufunc/__init__.py\", line 3, in <module>\n",
" from numba.np.ufunc.decorators import Vectorize, GUVectorize, vectorize, guvectorize\n",
" File \"/home/haive/miniconda3/envs/rvc_clone/lib/python3.9/site-packages/numba/np/ufunc/decorators.py\", line 3, in <module>\n",
" from numba.np.ufunc import _internal\n",
"SystemError: initialization of _internal failed without raising an exception\n"
]
}
],
"source": [
"%cd /home/haive/voice_clone_rvc/src/rvc_implementation\n",
"!python app.py"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "c3eb06c9",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/home/haive/voice_clone_rvc/rvc_implementation/project-main\n",
"2023-11-16 11:21:41 | INFO | faiss.loader | Loading faiss with AVX2 support.\n",
"2023-11-16 11:21:41 | INFO | faiss.loader | Successfully loaded faiss with AVX2 support.\n",
"2023-11-16 11:21:44 | INFO | configs.config | Found GPU NVIDIA A100-PCIE-40GB\n",
"2023-11-16 11:21:44 | INFO | __main__ | Use Language: en_US\n",
"\u001b[31mERROR\u001b[0m: [Errno 98] error while attempting to bind on address ('162.244.83.121', 7885): address already in use\n",
"Traceback (most recent call last):\n",
" File \"/home/haive/voice_clone_rvc/rvc_implementation/project-main/infer-web.py\", line 1501, in <module>\n",
" app.queue().launch(\n",
" File \"/home/haive/miniconda3/envs/rvc_clone/lib/python3.9/site-packages/gradio/blocks.py\", line 1865, in launch\n",
" ) = networking.start_server(\n",
" File \"/home/haive/miniconda3/envs/rvc_clone/lib/python3.9/site-packages/gradio/networking.py\", line 206, in start_server\n",
" raise OSError(\n",
"OSError: Cannot find empty port in range: 7885-7885. You can specify a different port by setting the GRADIO_SERVER_PORT environment variable or passing the `server_port` parameter to `launch()`.\n",
"\u001b[0m"
]
}
],
"source": [
"%cd /home/haive/voice_clone_rvc/rvc_implementation/project-main\n",
"!python infer-web.py"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "5760aabf",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[0m\u001b[01;35ma.png\u001b[0m infer-web.py\r\n",
"app.py LICENSE\r\n",
"\u001b[01;34massets\u001b[0m/ \u001b[01;34mlogs\u001b[0m/\r\n",
"\u001b[01;34maudios\u001b[0m/ MIT协议暨相关引用库协议\r\n",
"\u001b[01;34mconfigs\u001b[0m/ poetry.lock\r\n",
"docker-compose.yml pyproject.toml\r\n",
"Dockerfile README.md\r\n",
"\u001b[01;34mdocs\u001b[0m/ requirements-dml.txt\r\n",
"download_files.py requirements-ipex.txt\r\n",
"environment_dml.yaml requirements-safe.txt\r\n",
"go-realtime-gui.bat requirements.txt\r\n",
"go-realtime-gui-dml.bat requirements-win-for-realtime_vc_gui-dml.txt\r\n",
"go-web.bat requirements-win-for-realtime_vc_gui.txt\r\n",
"go-web-dml.bat Retrieval_based_Voice_Conversion_WebUI.ipynb\r\n",
"GUI.py Retrieval_based_Voice_Conversion_WebUI_v2.ipynb\r\n",
"gui_v1.py \u001b[01;32mrun.sh\u001b[0m*\r\n",
"\u001b[01;34mi18n\u001b[0m/ \u001b[01;34mtools\u001b[0m/\r\n",
"\u001b[01;34minfer\u001b[0m/ \u001b[01;32mvenv.sh\u001b[0m*\r\n"
]
}
],
"source": [
"ls"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2fca22f6",
"metadata": {},
"outputs": [],
"source": [
"#@title OR Open the GUI (Banned for free Colab Notebooks)\n",
"if not 'installed' in locals():\n",
" %cd /content\n",
" from google.colab import drive\n",
" drive.mount('/content/drive')\n",
" from IPython.display import clear_output\n",
" from ipywidgets import Button\n",
" import os\n",
" if not os.path.exists('/content/drive'):\n",
" print(\"Your drive is not mounted. Creating Fake Drive.\")\n",
" os.makedirs('/content/drive/MyDrive')\n",
" if not os.path.exists('/content/drive/MyDrive/project-main'):\n",
" !wget https://huggingface.co/Rejekts/project/resolve/main/project-main.zip -O '/content/project-main.zip' && unzip 'project-main.zip' -d /content/drive/MyDrive\n",
" !cd '/content/drive/MyDrive/project-main' && python download_files.py && pip install -r 'requirements.txt'\n",
" !rm /content/project-main.zip\n",
" !rm -r /content/sample_data\n",
" !mkdir -p /content/dataset\n",
" clear_output()\n",
" Button(description=\"\\u2714 Success\", button_style=\"success\")\n",
"tensorboard = True #@param {type:\"boolean\"}\n",
"if tensorboard:\n",
" %load_ext tensorboard\n",
" %tensorboard --logdir ./logs\n",
"%cd /content/drive/MyDrive/project-main\n",
"!python app.py --colab"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b53cc9b4",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "a5ae2343",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 4,
"id": "15199059",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"c86ac935-2aea-4621-a78a-74d74157995b\n",
"API request successful.\n",
"Response: None\n",
"/var/www/html/output/public/AI_voice/rvc_implc86ac935-2aea-4621-a78a-74d74157995b.mp3\n",
"https://cloud.haive.online/public/AI_voice/rvc_implc86ac935-2aea-4621-a78a-74d74157995b.mp3\n"
]
}
],
"source": [
"import json\n",
"import requests\n",
"import uuid\n",
"\n",
"def main_TTS(text,id,uid, speaker_iden):\n",
" payload = {\n",
" \"text\": text,\n",
" \"speaker_iden\" : speaker_iden,\n",
" \"id\" : id,\n",
" \"uid\": uid\n",
" }\n",
" \n",
" gg = text_to_audio_api_request(payload = payload)\n",
" media_url = \"https://cloud.haive.online/public/AI_voice/\"+id+uid+\".mp3\"\n",
" output_file_mp3 = \"/var/www/html/output/public/AI_voice/\"+id+str(uid)+\".mp3\"\n",
" return output_file_mp3, media_url\n",
"\n",
"def text_to_audio_api_request(payload):\n",
"\n",
" url = \"http://162.244.83.121:8008/text-to-audio-msen\"\n",
" headers = {\"Content-Type\": \"application/json\"}\n",
" \n",
" try:\n",
" response = requests.post(url, headers=headers, data=json.dumps(payload))\n",
" response_data = response.json()\n",
" \n",
" if response.status_code == 200:\n",
" print(\"API request successful.\")\n",
" print(\"Response:\", response_data)\n",
" else:\n",
" print(\"API request failed. Status code:\", response.status_code)\n",
" print(\"Response:\", response_data)\n",
" except Exception as e:\n",
" print(\"An error occurred:\", str(e))\n",
" return \"File Created\"\n",
"\n",
"\n",
"text = \"Hello, my name is Haive. I work in Codegama\"\n",
"model_name = \"rvc_impl\"\n",
"uid = str(uuid.uuid4())\n",
"print(uid)\n",
"speaker_iden = 19\n",
"output_file_mp3, media_url = main_TTS(text,model_name,uid, speaker_iden)\n",
"print(output_file_mp3)\n",
"print(media_url)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8151884f",
"metadata": {},
"outputs": [],
"source": [
"import librosa\n",
"\n",
"def read_audio_file(file_path):\n",
" # Read the audio file\n",
" audio, sample_rate = librosa.load(file_path, sr=None)\n",
"\n",
" return audio, sample_rate\n",
"\n",
"# Example usage\n",
"file_path = 'path/to/your/audio/file.wav' # replace with the actual file path\n",
"audio, sample_rate = read_audio_file(file_path)\n",
"\n",
"# Now, you can use 'audio' and 'sample_rate' in your further processing\n",
"print(f\"Audio duration: {len(audio)/sample_rate} seconds\")\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.9.18"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
Back to Directory
File Manager