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1		-de
	1	+en

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1		-conda create -nopenvoice python=3.9
2		-conda activate openvoice
3		-
4		-
5		-git clone https:~/~/github.com/myshell-ai/openVoice.git
6		-
7		-
8		-
9		-
10		-
11		- cd openVoice
12		- pip install -e .
13		- mkdir checkpoints_v2
14		- cd checkpoints_v2
15		- wget [[https:~~/~~/myshell-public-repo-host.s3.amazonaws.com/openvoice/checkpoints_v2_0417.zip>>https://myshell-public-repo-host.s3.amazonaws.com/openvoice/checkpoints_v2_0417.zip]]
16		-
17		-unzip checkpoints_v2_0417.zip
18		-
19		-
20		-mv checkpoints_v2 ~~/openVoice
21		-
22		-
23		-
24		-
25		-
26		-
27		-pip install git+https:~/~/github.com/cocktailpeanut/ov2.git
28		-
29		-
30		-
31		- cd ..
32		- pip install git+https:~/~/github.com/myshell-ai/MeloTTS.git
33		- python -m unidic download
34		- cd resources
35		- python3
36		-
37		-
38		-
39	39	import os
40	40
41	41	import torch
...	...	@@ -50,23 +50,4 @@
50	50
51	51	output_dir = 'outputs_v2'
52	52
53		-tone_color_converter = ToneColorCOnverter(f' {ckpt_converter} /config.json', device=device)
54		-
55		-tone_color_converter.load_ckpt(f' {ckpt_converter} /checkpoint.pth')
56		-
57		-os.makedirs (output_dir, exist_ok=True)
58		-
59		-reference_speaker = 'resources/example_reference.mp3'
60		-
61		-target_se, audio_name = se_extractor.get_se(reference_speaker, tone_color_converter, vad=False)
62		-
63		-from melo.api import TTS
64		-
65		-src_path = f' {output_dir} /tmp.wav'
66		-
67		-speed = 1.0
68		-
69		-
70		-
71		-
72		-
	15	+tone_color_converter = ToneColorCOnverter(f'{ckpt_converter}/config.json', device=device)