执行ASR任务时发生missing 1 required positional argument的错误

[danvan]

Traceback (most recent call last): File "/media/dell/work/workspaces/GPT-SoVITS/tools/damo_asr/cmd-asr.py", line 19, in text = inference_pipeline(audio_in="%s/%s"%(dir,name))["text"] File "/media/dell/work/workspaces/GPT-SoVITS/modelscope/package/modelscope/pipelines/audio/funasr_pipeline.py", line 73, in call output = self.model(*args, kwargs) File "/media/dell/work/workspaces/GPT-SoVITS/modelscope/package/modelscope/models/base/base_model.py", line 35, in call return self.postprocess(self.forward(*args, *kwargs)) File "/media/dell/work/workspaces/GPT-SoVITS/modelscope/package/modelscope/models/audio/funasr/model.py", line 61, in forward output = self.model.generate(args, kwargs) TypeError: generate() missing 1 required positional argument: 'input'

输出如上，请问该如何解决？

[Randolph87cb]

我把audio_in改成了input，能跑，但我不确定是不是正确办法

[danvan]

改成input会报这个错误： Traceback (most recent call last): File "/media/dell/work/workspaces/GPT-SoVITS/tools/damo_asr/cmd-asr.py", line 19, in text = inference_pipeline(input="%s/%s"%(dir,name))["text"] TypeError: list indices must be integers or slices, not str

[RVC-Boss]

你们的modelscope版本是啥，不确定是不是版本原因接口有变化

[noob3004]

你们的modelscope版本是啥，不确定是不是版本原因接口有变化

我也在ASR这里遇到了问题，报错 KeyError: 'funasr-pipeline is not in the pipelines registry group auto-speech-recognition. Please make sure the correct version of ModelScope library is used.'

modelscope 1.11.0 funasr 0.8.8

[mullyong]

+1

[Randolph87cb]

funasr和modelscope都用的git源master分支安装 代码接口audio_in改为input，去掉结尾["text"]就跑起来了，应该是接口问题吧

[danvan]

你们的modelscope版本是啥，不确定是不是版本原因接口有变化

我也在ASR这里遇到了问题，报错 KeyError: 'funasr-pipeline is not in the pipelines registry group auto-speech-recognition. Please make sure the correct version of ModelScope library is used.'

modelscope 1.11.0 funasr 0.8.8

一开始也遇到了， 后来降低了modelscope版本后进入到了下一个错误。降配是通过： git clone https://github.com/modelscope/modelscope.git && cd modelscope pip install -e ./

目前是： Successfully installed modelscope-1.9.4

[danvan]

补充一下，在抛异常之前，有几个warning:

2024-01-17 11:50:08,714 - modelscope - WARNING - No preprocessor field found in cfg. 2024-01-17 11:50:08,714 - modelscope - WARNING - No val key and type key found in preprocessor domain of configuration.json file. 2024-01-17 11:50:08,715 - modelscope - WARNING - Cannot find available config to build preprocessor at mode inference, current config: {'model_dir': 'tools/damo_asr/models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch'}. trying to build by task and model information. 2024-01-17 11:50:08,715 - modelscope - WARNING - No preprocessor key ('funasr', 'auto-speech-recognition') found in PREPROCESSOR_MAP, skip building preprocessor.

[mrhan1993]

@danvan @Randolph87cb @noob3004 @mullyong 可以参考我 https://github.com/RVC-Boss/GPT-SoVITS/issues/26#issuecomment-1895420620 这里的方法试试

[RVC-Boss]

我这正常能用的版本是1.11.0

[mullyong]

@danvan @Randolph87cb @noob3004 @mullyong可以参考我#26（评论）这里的方法尝试 结合你的方法并将audio_in改成了input 代码如下： inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch', vad_model='damo/speech_fsmn_vad_zh-cn-16k-common-pytorch', punc_model='damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch', )

opt=[] for name in os.listdir(dir): try: text = inference_pipeline(input="%s/%s"%(dir,name))[0]['text'] opt.append("%s/%s|%s|ZH|%s"%(dir,name,opt_name,text)) except: print(traceback.format_exc())

[shuangluoxss]

你们的modelscope版本是啥，不确定是不是版本原因接口有变化

我也在ASR这里遇到了问题，报错 KeyError: 'funasr-pipeline is not in the pipelines registry group auto-speech-recognition. Please make sure the correct version of ModelScope library is used.'

modelscope 1.11.0 funasr 0.8.8

遇到了同样的问题，通过降低funasr版本解决了

pip install funasr==0.8.7
pip install modelscope==1.10.0

参考：https://github.com/alibaba-damo-academy/FunASR/issues/1238#issuecomment-1895297780

[stormcenter]

@danvan @Randolph87cb @noob3004 @mullyong 可以参考我 #26 (comment) 这里的方法试试

你这个方法实际是重新下载到了默认目录，没有找本地路径。不是rootcause，核心应该还是指定pipeline的本地路径。 出这个问题的大家都是linux环境，相对路径下modelscope不认为你找的是一个本地路径的目录。 作者用的可能是windows环境所以不会有问题。

linux环境的用户，这几个地址指定为你本机目录的绝对路径看下。 比如： 我的目录是：/home/disk/xxxx/tools/damo_asr/models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch 就改为这个地址。

以下是一个例子： inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='/home/disk/xxxx/tools/damo_asr/models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch', vad_model='/home/disk/xxxx/tools/damo_asr/models/speech_fsmn_vad_zh-cn-16k-common-pytorch', punc_model='/home/disk/xxxx/tools/damo_asr/models/punc_ct-transformer_zh-cn-common-vocab272727-pytorch', )

[mrhan1993]

@stormcenter 相对路径和绝对路径我都试过，我是Windows环境。核心原因其实我也没理解。之所以这么搞是因为我发现让它自动下载的 configuration.json 和手动 clone 下来的是不一样的。

然后下边是网站上的

[LauraGPT]

Solution: https://github.com/RVC-Boss/GPT-SoVITS/issues/194#issuecomment-1910205929

[RVC-Boss]

Fixed by merging https://github.com/RVC-Boss/GPT-SoVITS/pull/135.