install deepspeed only on linux

README.md

@@ -88,7 +88,7 @@ output = cosyvoice.inference_sft('你好，我是通义生成式语音大模型
 torchaudio.save('sft.wav', output['tts_speech'], 22050)
 
 cosyvoice = CosyVoice('pretrained_models/CosyVoice-300M')
-# zero_shot usage
+# zero_shot usage, <|zh|><|en|><|jp|><|yue|><|ko|> for Chinese/English/Japanese/Cantonese/Korean
 prompt_speech_16k = load_wav('zero_shot_prompt.wav', 16000)
 output = cosyvoice.inference_zero_shot('收到好友从远方寄来的生日礼物，那份意外的惊喜与深深的祝福让我心中充满了甜蜜的快乐，笑容如花儿般绽放。', '希望你以后能够做的比我还好呦。', prompt_speech_16k)
 torchaudio.save('zero_shot.wav', output['tts_speech'], 22050)
@@ -98,7 +98,7 @@ output = cosyvoice.inference_cross_lingual('<|en|>And then later on, fully acqui
 torchaudio.save('cross_lingual.wav', output['tts_speech'], 22050)
 
 cosyvoice = CosyVoice('pretrained_models/CosyVoice-300M-Instruct')
-# instruct usage
+# instruct usage, support <laughter></laughter><strong></strong>[laughter][breath]
 output = cosyvoice.inference_instruct('在面对挑战时，他展现了非凡的<strong>勇气</strong>与<strong>智慧</strong>。', '中文男', 'Theo \'Crimson\', is a fiery, passionate rebel leader. Fights with fervor for justice, but struggles with impulsiveness.')
 torchaudio.save('instruct.wav', output['tts_speech'], 22050)
 ```

requirements.txt

@@ -1,6 +1,6 @@
 --extra-index-url https://download.pytorch.org/whl/cu118
 conformer==0.3.2
-deepspeed==0.14.2
+deepspeed==0.14.2; sys_platform == 'linux'
 diffusers==0.27.2
 gdown==5.1.0
 gradio==4.32.2