Update README.md

README.md

@@ -48,6 +48,10 @@ sys.path.append('third_party/Matcha-TTS')
 from cosyvoice.cli.cosyvoice import CosyVoice, CosyVoice2
 from cosyvoice.utils.file_utils import load_wav
 import torchaudio
+import opencc
+
+# 繁简转换
+converter = opencc.OpenCC('s2t.json')
 ```
 
 **CosyVoice2 Usage**
@@ -64,10 +68,14 @@ cosyvoice_zjg = CosyVoice2(
 
 prompt_speech_16k = load_wav('asset/sg_017_090.wav', 16000)
 
-for i, j in enumerate(cosyvoice_base.inference_instruct2('收到朋友从远方寄嚟嘅生日礼物，嗰份意外嘅惊喜同埋深深嘅祝福令我心入面充满咗甜蜜嘅快乐，笑容好似花咁绽放。', '用粤语说这句话', prompt_speech_16k, stream=False)):
+text = '收到朋友从远方寄嚟嘅生日礼物，嗰份意外嘅惊喜同埋深深嘅祝福令我心入面充满咗甜蜜嘅快乐，笑容好似花咁绽放。'
+# 繁简转换
+text = converter.convert(text)
+
+for i, j in enumerate(cosyvoice_base.inference_instruct2(text, '用粤语说这句话', prompt_speech_16k, stream=False)):
     torchaudio.save('base_{}.wav'.format(i), j['tts_speech'], cosyvoice.sample_rate)
 
-for i, j in enumerate(cosyvoice_zjg.inference_instruct2('收到朋友从远方寄嚟嘅生日礼物，嗰份意外嘅惊喜同埋深深嘅祝福令我心入面充满咗甜蜜嘅快乐，笑容好似花咁绽放。', '用粤语说这句话', prompt_speech_16k, stream=False)):
+for i, j in enumerate(cosyvoice_zjg.inference_instruct2(text, '用粤语说这句话', prompt_speech_16k, stream=False)):
     torchaudio.save('zjg_{}.wav'.format(i), j['tts_speech'], cosyvoice.sample_rate)
 ```