Update Retrieval_based_Voice_Conversion_WebUI.ipynb

Retrieval_based_Voice_Conversion_WebUI.ipynb

@@ -34,14 +34,14 @@
       },
       "outputs": [],
       "source": [
-        "#@title 查看显卡\n",
+        "#@title View graphics card\n",
         "!nvidia-smi"
       ]
     },
     {
       "cell_type": "code",
       "source": [
-        "#@title 安装依赖\n",
+        "#@title Install dependencies\n",
         "!apt-get -y install build-essential python3-dev ffmpeg\n",
         "!pip3 install --upgrade setuptools wheel\n",
         "!pip3 install --upgrade pip\n",
@@ -56,7 +56,7 @@
     {
       "cell_type": "code",
       "source": [
-        "#@title 克隆仓库\n",
+        "#@title Clone repository\n",
         "\n",
         "!git clone --depth=1 -b stable https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI\n",
         "%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
@@ -71,7 +71,7 @@
     {
       "cell_type": "code",
       "source": [
-        "#@title 更新仓库（一般无需执行）\n",
+        "#@title Update the warehouse (generally no need to execute)\n",
         "!git pull"
       ],
       "metadata": {
@@ -83,7 +83,7 @@
     {
       "cell_type": "code",
       "source": [
-        "#@title 安装aria2\n",
+        "#@title Install aria2\n",
         "!apt -y install -qq aria2"
       ],
       "metadata": {
@@ -95,7 +95,7 @@
     {
       "cell_type": "code",
       "source": [
-        "#@title 下载底模\n",
+        "#@title Download the base model\n",
         "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/D32k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o D32k.pth\n",
         "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/D40k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o D40k.pth\n",
         "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/D48k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o D48k.pth\n",
@@ -118,7 +118,7 @@
     {
       "cell_type": "code",
       "source": [
-        "#@title 下载人声分离模型\n",
+        "#@title Download the Vocal Separation Model\n",
         "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP2-人声vocals+非人声instrumentals.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/uvr5_weights -o HP2-人声vocals+非人声instrumentals.pth\n",
         "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP5-主旋律人声vocals+其他instrumentals.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/uvr5_weights -o HP5-主旋律人声vocals+其他instrumentals.pth"
       ],
@@ -131,7 +131,7 @@
     {
       "cell_type": "code",
       "source": [
-        "#@title 下载hubert_base\n",
+        "#@title Download hubert_base\n",
         "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/hubert_base.pt -d /content/Retrieval-based-Voice-Conversion-WebUI -o hubert_base.pt"
       ],
       "metadata": {
@@ -143,7 +143,7 @@
     {
       "cell_type": "code",
       "source": [
-        "#@title 挂载谷歌云盘\n",
+        "#@title Mount Google Drive\n",
         "\n",
         "from google.colab import drive\n",
         "drive.mount('/content/drive')"
@@ -157,9 +157,9 @@
     {
       "cell_type": "code",
       "source": [
-        "#@title 从谷歌云盘加载打包好的数据集到/content/dataset\n",
+        "#@title Load the packaged dataset from Google Cloud Drive to /content/dataset\n",
         "\n",
-        "#@markdown 数据集位置\n",
+        "#@markdown Data set location\n",
         "DATASET = \"/content/drive/MyDrive/dataset/lulu20230327_32k.zip\"  #@param {type:\"string\"}\n",
         "\n",
         "!mkdir -p /content/dataset\n",
@@ -174,7 +174,7 @@
     {
       "cell_type": "code",
       "source": [
-        "#@title 重命名数据集中的重名文件\n",
+        "#@title Rename duplicate files in the dataset \n",
         "!ls -a /content/dataset/\n",
         "!rename 's/(\\w+)\\.(\\w+)~(\\d*)/$1_$3.$2/' /content/dataset/*.*~*"
       ],
@@ -187,7 +187,7 @@
     {
       "cell_type": "code",
       "source": [
-        "#@title 启动web\n",
+        "#@title start web \n",
         "%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
         "# %load_ext tensorboard\n",
         "# %tensorboard --logdir /content/Retrieval-based-Voice-Conversion-WebUI/logs\n",
@@ -202,12 +202,12 @@
     {
       "cell_type": "code",
       "source": [
-        "#@title 手动将训练后的模型文件备份到谷歌云盘\n",
+        "#@title Manually back up the trained model files to Google Drive \n",
         "#@markdown 需要自己查看logs文件夹下模型的文件名，手动修改下方命令末尾的文件名\n",
         "\n",
-        "#@markdown 模型名\n",
+        "#@markdown Model name\n",
         "MODELNAME = \"lulu\"  #@param {type:\"string\"}\n",
-        "#@markdown 模型epoch\n",
+        "#@markdown Model epoch\n",
         "MODELEPOCH = 9600  #@param {type:\"integer\"}\n",
         "\n",
         "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/drive/MyDrive/{MODELNAME}_D_{MODELEPOCH}.pth\n",
@@ -226,12 +226,12 @@
     {
       "cell_type": "code",
       "source": [
-        "#@title 从谷歌云盘恢复pth\n",
-        "#@markdown 需要自己查看logs文件夹下模型的文件名，手动修改下方命令末尾的文件名\n",
+        "#@title Restore pth from Google Drive\n",
+        "#@markdown You need to check the model file name in the logs folder yourself and manually modify the file name at the end of the command below\n",
         "\n",
-        "#@markdown 模型名\n",
+        "#@markdown Model name\n",
         "MODELNAME = \"lulu\"  #@param {type:\"string\"}\n",
-        "#@markdown 模型epoch\n",
+        "#@markdown Model epoch\n",
         "MODELEPOCH = 7500  #@param {type:\"integer\"}\n",
         "\n",
         "!mkdir -p /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
@@ -251,12 +251,12 @@
     {
       "cell_type": "code",
       "source": [
-        "#@title 手动预处理（不推荐）\n",
-        "#@markdown 模型名\n",
+        "#@title Manual preprocessing (not recommended)\n",
+        "#@markdown Model name\n",
         "MODELNAME = \"lulu\"  #@param {type:\"string\"}\n",
-        "#@markdown 采样率\n",
+        "#@markdown Sampling rate\n",
         "BITRATE = 48000  #@param {type:\"integer\"}\n",
-        "#@markdown 使用的进程数\n",
+        "#@markdown Number of processes used\n",
         "THREADCOUNT = 8  #@param {type:\"integer\"}\n",
         "\n",
         "!python3 trainset_preprocess_pipeline_print.py /content/dataset {BITRATE} {THREADCOUNT} logs/{MODELNAME} True\n"
@@ -270,12 +270,12 @@
     {
       "cell_type": "code",
       "source": [
-        "#@title 手动提取特征（不推荐）\n",
-        "#@markdown 模型名\n",
+        "#@title Manual feature extraction (not recommended)\n",
+        "#@markdown Model name\n",
         "MODELNAME = \"lulu\"  #@param {type:\"string\"}\n",
-        "#@markdown 使用的进程数\n",
+        "#@markdown Number of processes used\n",
         "THREADCOUNT = 8  #@param {type:\"integer\"}\n",
-        "#@markdown 音高提取算法\n",
+        "#@markdown Pitch Extraction Algorithm\n",
         "ALGO = \"harvest\"  #@param {type:\"string\"}\n",
         "\n",
         "!python3 extract_f0_print.py logs/{MODELNAME} {THREADCOUNT} {ALGO}\n",
@@ -291,22 +291,22 @@
     {
       "cell_type": "code",
       "source": [
-        "#@title 手动训练（不推荐）\n",
-        "#@markdown 模型名\n",
+        "#@title Manual training (not recommended)\n",
+        "#@markdown Model name\n",
         "MODELNAME = \"lulu\"  #@param {type:\"string\"}\n",
-        "#@markdown 使用的GPU\n",
+        "#@markdown GPU used\n",
         "USEGPU = \"0\"  #@param {type:\"string\"}\n",
-        "#@markdown 批大小\n",
+        "#@markdown batch size\n",
         "BATCHSIZE = 32  #@param {type:\"integer\"}\n",
-        "#@markdown 停止的epoch\n",
+        "#@markdown Stopped epoch\n",
         "MODELEPOCH = 3200  #@param {type:\"integer\"}\n",
-        "#@markdown 保存epoch间隔\n",
+        "#@markdown Save epoch interval\n",
         "EPOCHSAVE = 100  #@param {type:\"integer\"}\n",
-        "#@markdown 采样率\n",
+        "#@markdown Sampling rate\n",
         "MODELSAMPLE = \"48k\"  #@param {type:\"string\"}\n",
-        "#@markdown 是否缓存训练集\n",
+        "#@markdown Whether to cache the training set\n",
         "CACHEDATA = 1  #@param {type:\"integer\"}\n",
-        "#@markdown 是否仅保存最新的ckpt文件\n",
+        "#@markdown Whether to save only the latest ckpt file\n",
         "ONLYLATEST = 0  #@param {type:\"integer\"}\n",
         "\n",
         "!python3 train_nsf_sim_cache_sid_load_pretrain.py -e lulu -sr {MODELSAMPLE} -f0 1 -bs {BATCHSIZE} -g {USEGPU} -te {MODELEPOCH} -se {EPOCHSAVE} -pg pretrained/f0G{MODELSAMPLE}.pth -pd pretrained/f0D{MODELSAMPLE}.pth -l {ONLYLATEST} -c {CACHEDATA}\n"
@@ -320,25 +320,25 @@
     {
       "cell_type": "code",
       "source": [
-        "#@title 删除其它pth，只留选中的（慎点，仔细看代码）\n",
-        "#@markdown 模型名\n",
+        "#@title Delete other pths and keep only the selected ones (be careful and read the code carefully)\n",
+        "#@markdown Model name\n",
         "MODELNAME = \"lulu\"  #@param {type:\"string\"}\n",
-        "#@markdown 选中模型epoch\n",
+        "#@markdown Select model epoch\n",
         "MODELEPOCH = 9600  #@param {type:\"integer\"}\n",
         "\n",
-        "!echo \"备份选中的模型。。。\"\n",
+        "!echo \"Back up the selected model...\"\n",
         "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n",
         "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/{MODELNAME}_G_{MODELEPOCH}.pth\n",
         "\n",
-        "!echo \"正在删除。。。\"\n",
+        "!echo \"Deleting...\"\n",
         "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
         "!rm /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*.pth\n",
         "\n",
-        "!echo \"恢复选中的模型。。。\"\n",
+        "!echo \"Restore the selected model...\"\n",
         "!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth \n",
         "!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
         "\n",
-        "!echo \"删除完成\"\n",
+        "!echo \"Deletion completed\"\n",
         "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}"
       ],
       "metadata": {
@@ -350,25 +350,25 @@
     {
       "cell_type": "code",
       "source": [
-        "#@title 清除项目下所有文件，只留选中的模型（慎点，仔细看代码）\n",
-        "#@markdown 模型名\n",
+        "#@title Clear all files under the project and leave only the selected model (be careful and read the code carefully)\n",
+        "#@markdown Model name\n",
         "MODELNAME = \"lulu\"  #@param {type:\"string\"}\n",
-        "#@markdown 选中模型epoch\n",
+        "#@markdown Select model epoch\n",
         "MODELEPOCH = 9600  #@param {type:\"integer\"}\n",
         "\n",
-        "!echo \"备份选中的模型。。。\"\n",
+        "!echo \"Back up the selected model...\"\n",
         "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n",
         "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/{MODELNAME}_G_{MODELEPOCH}.pth\n",
         "\n",
-        "!echo \"正在删除。。。\"\n",
+        "!echo \"Deleting...\"\n",
         "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
         "!rm -rf /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*\n",
         "\n",
-        "!echo \"恢复选中的模型。。。\"\n",
+        "!echo \"Restore the selected model...\"\n",
         "!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth \n",
         "!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
         "\n",
-        "!echo \"删除完成\"\n",
+        "!echo \"Deletion completed\"\n",
         "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}"
       ],
       "metadata": {