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Update Retrieval_based_Voice_Conversion_WebUI_v2.ipynb

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Retrieval_based_Voice_Conversion_WebUI_v2.ipynb CHANGED
@@ -18,7 +18,7 @@
18
  },
19
  "outputs": [],
20
  "source": [
21
- "#@title 查看显卡\n",
22
  "!nvidia-smi"
23
  ]
24
  },
@@ -30,7 +30,7 @@
30
  },
31
  "outputs": [],
32
  "source": [
33
- "#@title 安装依赖\n",
34
  "!apt-get -y install build-essential python3-dev ffmpeg\n",
35
  "!pip3 install --upgrade setuptools wheel\n",
36
  "!pip3 install --upgrade pip\n",
@@ -45,7 +45,7 @@
45
  },
46
  "outputs": [],
47
  "source": [
48
- "#@title 克隆仓库\n",
49
  "\n",
50
  "!mkdir Retrieval-based-Voice-Conversion-WebUI\n",
51
  "%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
@@ -63,7 +63,7 @@
63
  },
64
  "outputs": [],
65
  "source": [
66
- "#@title 更新仓库(一般无需执行)\n",
67
  "!git pull"
68
  ]
69
  },
@@ -75,7 +75,7 @@
75
  },
76
  "outputs": [],
77
  "source": [
78
- "#@title 安装aria2\n",
79
  "!apt -y install -qq aria2"
80
  ]
81
  },
@@ -87,7 +87,7 @@
87
  },
88
  "outputs": [],
89
  "source": [
90
- "#@title 下载底模\n",
91
  "\n",
92
  "# v1\n",
93
  "!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",
@@ -126,7 +126,7 @@
126
  },
127
  "outputs": [],
128
  "source": [
129
- "#@title 下载人声分离模型\n",
130
  "!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",
131
  "!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"
132
  ]
@@ -139,7 +139,7 @@
139
  },
140
  "outputs": [],
141
  "source": [
142
- "#@title 下载hubert_base\n",
143
  "!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"
144
  ]
145
  },
@@ -151,7 +151,7 @@
151
  },
152
  "outputs": [],
153
  "source": [
154
- "#@title 挂载谷歌云盘\n",
155
  "\n",
156
  "from google.colab import drive\n",
157
  "drive.mount('/content/drive')"
@@ -165,9 +165,9 @@
165
  },
166
  "outputs": [],
167
  "source": [
168
- "#@title 从谷歌云盘加载打包好的数据集到/content/dataset\n",
169
  "\n",
170
- "#@markdown 数据集位置\n",
171
  "DATASET = \"/content/drive/MyDrive/dataset/lulu20230327_32k.zip\" #@param {type:\"string\"}\n",
172
  "\n",
173
  "!mkdir -p /content/dataset\n",
@@ -182,7 +182,7 @@
182
  },
183
  "outputs": [],
184
  "source": [
185
- "#@title 重命名数据集中的重名文件\n",
186
  "!ls -a /content/dataset/\n",
187
  "!rename 's/(\\w+)\\.(\\w+)~(\\d*)/$1_$3.$2/' /content/dataset/*.*~*"
188
  ]
@@ -195,7 +195,7 @@
195
  },
196
  "outputs": [],
197
  "source": [
198
- "#@title 启动web\n",
199
  "%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
200
  "# %load_ext tensorboard\n",
201
  "# %tensorboard --logdir /content/Retrieval-based-Voice-Conversion-WebUI/logs\n",
@@ -210,10 +210,10 @@
210
  },
211
  "outputs": [],
212
  "source": [
213
- "#@title 手动将训练后的模型文件备份到谷歌云盘\n",
214
  "#@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",
215
  "\n",
216
- "#@markdown 模型名\n",
217
  "MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
218
  "#@markdown 模型epoch\n",
219
  "MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
@@ -234,12 +234,12 @@
234
  },
235
  "outputs": [],
236
  "source": [
237
- "#@title 从谷歌云盘恢复pth\n",
238
- "#@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",
239
  "\n",
240
- "#@markdown 模型名\n",
241
  "MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
242
- "#@markdown 模型epoch\n",
243
  "MODELEPOCH = 7500 #@param {type:\"integer\"}\n",
244
  "\n",
245
  "!mkdir -p /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
@@ -259,12 +259,12 @@
259
  },
260
  "outputs": [],
261
  "source": [
262
- "#@title 手动预处理(不推荐)\n",
263
- "#@markdown 模型名\n",
264
  "MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
265
- "#@markdown 采样率\n",
266
  "BITRATE = 48000 #@param {type:\"integer\"}\n",
267
- "#@markdown 使用的进程数\n",
268
  "THREADCOUNT = 8 #@param {type:\"integer\"}\n",
269
  "\n",
270
  "!python3 trainset_preprocess_pipeline_print.py /content/dataset {BITRATE} {THREADCOUNT} logs/{MODELNAME} True\n"
@@ -278,12 +278,12 @@
278
  },
279
  "outputs": [],
280
  "source": [
281
- "#@title 手动提取特征(不推荐)\n",
282
- "#@markdown 模型名\n",
283
  "MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
284
- "#@markdown 使用的进程数\n",
285
  "THREADCOUNT = 8 #@param {type:\"integer\"}\n",
286
- "#@markdown 音高提取算法\n",
287
  "ALGO = \"harvest\" #@param {type:\"string\"}\n",
288
  "\n",
289
  "!python3 extract_f0_print.py logs/{MODELNAME} {THREADCOUNT} {ALGO}\n",
@@ -299,22 +299,22 @@
299
  },
300
  "outputs": [],
301
  "source": [
302
- "#@title 手动训练(不推荐)\n",
303
- "#@markdown 模型名\n",
304
  "MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
305
- "#@markdown 使用的GPU\n",
306
  "USEGPU = \"0\" #@param {type:\"string\"}\n",
307
- "#@markdown 批大小\n",
308
  "BATCHSIZE = 32 #@param {type:\"integer\"}\n",
309
- "#@markdown 停止的epoch\n",
310
  "MODELEPOCH = 3200 #@param {type:\"integer\"}\n",
311
- "#@markdown 保存epoch间隔\n",
312
  "EPOCHSAVE = 100 #@param {type:\"integer\"}\n",
313
- "#@markdown 采样率\n",
314
  "MODELSAMPLE = \"48k\" #@param {type:\"string\"}\n",
315
- "#@markdown 是否缓存训练集\n",
316
  "CACHEDATA = 1 #@param {type:\"integer\"}\n",
317
- "#@markdown 是否仅保存最新的ckpt文件\n",
318
  "ONLYLATEST = 0 #@param {type:\"integer\"}\n",
319
  "\n",
320
  "!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"
@@ -328,25 +328,25 @@
328
  },
329
  "outputs": [],
330
  "source": [
331
- "#@title 删除其它pth,只留选中的(慎点,仔细看代码)\n",
332
- "#@markdown 模型名\n",
333
  "MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
334
- "#@markdown 选中模型epoch\n",
335
  "MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
336
  "\n",
337
- "!echo \"备份选中的模型。。。\"\n",
338
  "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n",
339
  "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/{MODELNAME}_G_{MODELEPOCH}.pth\n",
340
  "\n",
341
- "!echo \"正在删除。。。\"\n",
342
  "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
343
  "!rm /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*.pth\n",
344
  "\n",
345
- "!echo \"恢复选中的模型。。。\"\n",
346
  "!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth \n",
347
  "!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
348
  "\n",
349
- "!echo \"删除完成\"\n",
350
  "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}"
351
  ]
352
  },
@@ -358,25 +358,25 @@
358
  },
359
  "outputs": [],
360
  "source": [
361
- "#@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",
362
- "#@markdown 模型名\n",
363
  "MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
364
  "#@markdown 选中模型epoch\n",
365
  "MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
366
  "\n",
367
- "!echo \"备份选中的模型。。。\"\n",
368
  "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n",
369
  "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/{MODELNAME}_G_{MODELEPOCH}.pth\n",
370
  "\n",
371
- "!echo \"正在删除。。。\"\n",
372
  "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
373
  "!rm -rf /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*\n",
374
  "\n",
375
- "!echo \"恢复选中的模型。。。\"\n",
376
  "!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth \n",
377
  "!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
378
  "\n",
379
- "!echo \"删除完成\"\n",
380
  "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}"
381
  ]
382
  }
 
18
  },
19
  "outputs": [],
20
  "source": [
21
+ "#@title View graphics card\n",
22
  "!nvidia-smi"
23
  ]
24
  },
 
30
  },
31
  "outputs": [],
32
  "source": [
33
+ "#@title Install dependencies\n",
34
  "!apt-get -y install build-essential python3-dev ffmpeg\n",
35
  "!pip3 install --upgrade setuptools wheel\n",
36
  "!pip3 install --upgrade pip\n",
 
45
  },
46
  "outputs": [],
47
  "source": [
48
+ "#@title Clone repository\n",
49
  "\n",
50
  "!mkdir Retrieval-based-Voice-Conversion-WebUI\n",
51
  "%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
 
63
  },
64
  "outputs": [],
65
  "source": [
66
+ "#@title Update the warehouse (generally no need to execute)\n",
67
  "!git pull"
68
  ]
69
  },
 
75
  },
76
  "outputs": [],
77
  "source": [
78
+ "#@title Install aria2\n",
79
  "!apt -y install -qq aria2"
80
  ]
81
  },
 
87
  },
88
  "outputs": [],
89
  "source": [
90
+ "#@title Download the base model\n",
91
  "\n",
92
  "# v1\n",
93
  "!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",
 
126
  },
127
  "outputs": [],
128
  "source": [
129
+ "#@title Download the Vocal Separation Model\n",
130
  "!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",
131
  "!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"
132
  ]
 
139
  },
140
  "outputs": [],
141
  "source": [
142
+ "#@title Download hubert_base\n",
143
  "!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"
144
  ]
145
  },
 
151
  },
152
  "outputs": [],
153
  "source": [
154
+ "#@title Mount Google Drive\n",
155
  "\n",
156
  "from google.colab import drive\n",
157
  "drive.mount('/content/drive')"
 
165
  },
166
  "outputs": [],
167
  "source": [
168
+ "#@title Load the packaged dataset from Google Cloud Drive to /content/dataset\n",
169
  "\n",
170
+ "#@markdown Data set location\n",
171
  "DATASET = \"/content/drive/MyDrive/dataset/lulu20230327_32k.zip\" #@param {type:\"string\"}\n",
172
  "\n",
173
  "!mkdir -p /content/dataset\n",
 
182
  },
183
  "outputs": [],
184
  "source": [
185
+ "#@title Rename duplicate files in the dataset\n",
186
  "!ls -a /content/dataset/\n",
187
  "!rename 's/(\\w+)\\.(\\w+)~(\\d*)/$1_$3.$2/' /content/dataset/*.*~*"
188
  ]
 
195
  },
196
  "outputs": [],
197
  "source": [
198
+ "#@title start web\n",
199
  "%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
200
  "# %load_ext tensorboard\n",
201
  "# %tensorboard --logdir /content/Retrieval-based-Voice-Conversion-WebUI/logs\n",
 
210
  },
211
  "outputs": [],
212
  "source": [
213
+ "#@title Manually back up the trained model files to Google Drive\n",
214
  "#@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",
215
  "\n",
216
+ "#@markdown Model name\n",
217
  "MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
218
  "#@markdown 模型epoch\n",
219
  "MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
 
234
  },
235
  "outputs": [],
236
  "source": [
237
+ "#@title Restore pth from Google Drive\n",
238
+ "#@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",
239
  "\n",
240
+ "#@markdown Model name\n",
241
  "MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
242
+ "#@markdown Model epoch\n",
243
  "MODELEPOCH = 7500 #@param {type:\"integer\"}\n",
244
  "\n",
245
  "!mkdir -p /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
 
259
  },
260
  "outputs": [],
261
  "source": [
262
+ "#@title Manual preprocessing (not recommended)\n",
263
+ "#@markdown Model name\n",
264
  "MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
265
+ "#@markdown Sampling rate\n",
266
  "BITRATE = 48000 #@param {type:\"integer\"}\n",
267
+ "#@markdown Number of processes used\n",
268
  "THREADCOUNT = 8 #@param {type:\"integer\"}\n",
269
  "\n",
270
  "!python3 trainset_preprocess_pipeline_print.py /content/dataset {BITRATE} {THREADCOUNT} logs/{MODELNAME} True\n"
 
278
  },
279
  "outputs": [],
280
  "source": [
281
+ "#@title Manual feature extraction (not recommended)\n",
282
+ "#@markdown Model name\n",
283
  "MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
284
+ "#@markdown Number of processes used\n",
285
  "THREADCOUNT = 8 #@param {type:\"integer\"}\n",
286
+ "#@markdown Pitch Extraction Algorithm\n",
287
  "ALGO = \"harvest\" #@param {type:\"string\"}\n",
288
  "\n",
289
  "!python3 extract_f0_print.py logs/{MODELNAME} {THREADCOUNT} {ALGO}\n",
 
299
  },
300
  "outputs": [],
301
  "source": [
302
+ "#@title Manual training (not recommended)\n",
303
+ "#@markdown Model name\n",
304
  "MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
305
+ "#@markdown GPU used\n",
306
  "USEGPU = \"0\" #@param {type:\"string\"}\n",
307
+ "#@markdown batch size\n",
308
  "BATCHSIZE = 32 #@param {type:\"integer\"}\n",
309
+ "#@markdown Stopped epoch\n",
310
  "MODELEPOCH = 3200 #@param {type:\"integer\"}\n",
311
+ "#@markdown Save epoch interval\n",
312
  "EPOCHSAVE = 100 #@param {type:\"integer\"}\n",
313
+ "#@markdown Sampling rate\n",
314
  "MODELSAMPLE = \"48k\" #@param {type:\"string\"}\n",
315
+ "#@markdown Whether to cache the training set\n",
316
  "CACHEDATA = 1 #@param {type:\"integer\"}\n",
317
+ "#@markdown Whether to save only the latest ckpt file\n",
318
  "ONLYLATEST = 0 #@param {type:\"integer\"}\n",
319
  "\n",
320
  "!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"
 
328
  },
329
  "outputs": [],
330
  "source": [
331
+ "#@title Delete other pths and keep only the selected ones (be careful and read the code carefully)\n",
332
+ "#@markdown Model name\n",
333
  "MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
334
+ "#@markdown Select model epoch\n",
335
  "MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
336
  "\n",
337
+ "!echo \"Back up the selected model...\"\n",
338
  "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n",
339
  "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/{MODELNAME}_G_{MODELEPOCH}.pth\n",
340
  "\n",
341
+ "!echo \"Deleting...\"\n",
342
  "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
343
  "!rm /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*.pth\n",
344
  "\n",
345
+ "!echo \"Restore the selected model...\"\n",
346
  "!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth \n",
347
  "!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
348
  "\n",
349
+ "!echo \"Deletion completed\"\n",
350
  "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}"
351
  ]
352
  },
 
358
  },
359
  "outputs": [],
360
  "source": [
361
+ "#@title Clear all files under the project and leave only the selected model (be careful and read the code carefully)\n",
362
+ "#@markdown Model name\n",
363
  "MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
364
  "#@markdown 选中模型epoch\n",
365
  "MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
366
  "\n",
367
+ "!echo \"Back up the selected model...\"\n",
368
  "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n",
369
  "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/{MODELNAME}_G_{MODELEPOCH}.pth\n",
370
  "\n",
371
+ "!echo \"Deleting...\"\n",
372
  "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
373
  "!rm -rf /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*\n",
374
  "\n",
375
+ "!echo \"Restore the selected model...\"\n",
376
  "!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth \n",
377
  "!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
378
  "\n",
379
+ "!echo \"Deletion completed\"\n",
380
  "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}"
381
  ]
382
  }