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1		-en
	1	+de

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