diff --git a/0 一键启动脚本/Cfg/Cfg.ini b/0 一键启动脚本/Cfg/Cfg.ini index f52e7369..c957eb73 100644 --- a/0 一键启动脚本/Cfg/Cfg.ini +++ b/0 一键启动脚本/Cfg/Cfg.ini @@ -1,30 +1,32 @@ [Title] -Text=ػ2.1 by Xter | ԭĿ by RVC-Bossޣ +Text=ػ by Xter | ԭĿ by RVC-Bossޣ [HomeImage] Route=\Cfg\HomeImage.jpg -[TTSBSWUIStart] -FolderName=ļϳҳ -Hide=N -ButtonName=ļϳҳ -Route=3 ļappУˣ.bat +[HomeDescription] +Route=\˵.txt [TTSBackgroundServiceStart] -FolderName=TTS ˷ -ButtonName=TTS ˷ +FolderName=TTS ̨ +ButtonName=TTS ̨ Route=5 ˳.bat [TTSWebUIStart] -FolderName=TTS ǰ +FolderName=TTS WebUI Hide=N -ButtonName=TTS ǰ +ButtonName=TTS WebUI Route=6 ǰ˺ϳɳ򣨿ѡˣ.bat -[GPTsoVITSWebUIStart] -FolderName=GSV WebUI +[TTSBSWUIStart] +FolderName=ļapp Hide=N -ButtonName=GSV WebUI +ButtonName=ļapp +Route=3 ļappУˣ.bat +[GPTsoVITSWebUIStart] +FolderName=GPTsV WebUI +Hide=N +ButtonName=GPTsV WebUI Route=11 ԭĿѵ棨Сױ𿪣ҳϵĵоȺ.bat [TTSModuleManagerStart] -FolderName=ģ͹ +FolderName=TTS ģ͹ Hide=N -ButtonName=ģ͹ +ButtonName=TTS ģ͹ Route=10 ģ͹棨ѡ.bat [UpdateProgramStart] FolderName=Ŀ diff --git a/0 一键启动脚本/GPT-soVITS Start.exe b/0 一键启动脚本/GPT-soVITS Start.exe index 8e153666..bf25ca67 100644 Binary files a/0 一键启动脚本/GPT-soVITS Start.exe and b/0 一键启动脚本/GPT-soVITS Start.exe differ diff --git a/0 一键启动脚本/说明.txt b/0 一键启动脚本/说明.txt index 29abc0f7..8e4c057e 100644 --- a/0 一键启动脚本/说明.txt +++ b/0 一键启动脚本/说明.txt @@ -14,7 +14,7 @@ 运行 TTS 模型管理 -四、启动原版GSV的推理 +四、启动原版GSV的训练 您可以启动 GSV WebUI 但是实际上我们不推荐您这么做,这个推理项目不被建议用来训练,版本太高了,据传会出现小问题 diff --git a/Inference b/Inference index 8eb8219e..f3e5d7e9 160000 --- a/Inference +++ b/Inference @@ -1 +1 @@ -Subproject commit 8eb8219e47e996b7c7f1a77d7b0a71420c861e82 +Subproject commit f3e5d7e930f31261ef797240278fee7b2db81b48 diff --git a/app.py b/app.py index 264f52ea..972250a2 100644 --- a/app.py +++ b/app.py @@ -125,10 +125,8 @@ def send_request( params["seed"] = seed gen = tts_instance.get_wav_from_text_api(**params) sampling_rate, audio_data = next(gen) - wav = io.BytesIO() - sf.write(wav, audio_data, sampling_rate, format="wav") - wav.seek(0) - return sampling_rate, np.frombuffer(wav.read(), dtype=np.int16) + + return sampling_rate, np.array(audio_data,dtype=np.int16) def stopAudioPlay():