Kedreamix / Linly-Talker

Digital Avatar Conversational System - Linly-Talker. 😄✨ Linly-Talker is an intelligent AI system that combines large language models (LLMs) with visual models to create a novel human-AI interaction method. 🤝🤖 It integrates various technologies like Whisper, Linly, Microsoft Speech Services, and SadTalker talking head generation system. 🌟🔬
https://kedreamix.github.io/
MIT License
2.04k stars 332 forks source link

error: metadata-generation-failed #34

Closed JackieGLQ closed 6 months ago

JackieGLQ commented 6 months ago

(LinlyTalkerLaoGao) E:\GaoLLM\Test\LinlyTalkerLaoGao\Linly-Talker>pip install -r VITS/requirements_xtts.txt Collecting TTS@ git+https://github.com/coqui-ai/TTS@v0.21.1 (from -r VITS/requirements_xtts.txt (line 2)) Cloning https://github.com/coqui-ai/TTS (to revision v0.21.1) to c:\users\administrator\appdata\local\temp\pip-install-y6ubg7yq\tts_3702a0838f9d47cabc5e0cc2d313aefa Running command git clone --filter=blob:none --quiet https://github.com/coqui-ai/TTS 'C:\Users\Administrator\AppData\Local\Temp\pip-install-y6ubg7yq\tts_3702a0838f9d47cabc5e0cc2d313aefa' Running command git checkout -q 00a870c26abdc06429ffef3e2814b1a1d5b40fff Resolved https://github.com/coqui-ai/TTS to commit 00a870c26abdc06429ffef3e2814b1a1d5b40fff Installing build dependencies ... done Getting requirements to build wheel ... done Preparing metadata (pyproject.toml) ... done Collecting pydantic==1.10.13 (from -r VITS/requirements_xtts.txt (line 3)) Downloading pydantic-1.10.13-cp310-cp310-win_amd64.whl.metadata (150 kB) ---------------------------------------- 150.9/150.9 kB 1.8 MB/s eta 0:00:00 Collecting python-multipart==0.0.6 (from -r VITS/requirements_xtts.txt (line 4)) Downloading python_multipart-0.0.6-py3-none-any.whl.metadata (2.5 kB) Requirement already satisfied: typing-extensions>=4.8.0 in e:\anaconda3\envs\linlytalkerlaogao\lib\site-packages (from -r VITS/requirements_xtts.txt (line 5)) (4.11.0) Collecting cutlet (from -r VITS/requirements_xtts.txt (line 6)) Downloading cutlet-0.4.0.tar.gz (412 kB) ---------------------------------------- 412.3/412.3 kB 12.6 MB/s eta 0:00:00 Installing build dependencies ... done Getting requirements to build wheel ... done Preparing metadata (pyproject.toml) ... done Collecting mecab-python3==1.0.6 (from -r VITS/requirements_xtts.txt (line 7)) Downloading mecab_python3-1.0.6-cp310-cp310-win_amd64.whl.metadata (6.3 kB) Collecting unidic-lite==1.0.8 (from -r VITS/requirements_xtts.txt (line 8)) Downloading unidic-lite-1.0.8.tar.gz (47.4 MB) ---------------------------------------- 47.4/47.4 MB 17.7 MB/s eta 0:00:00 Preparing metadata (setup.py) ... done Collecting unidic==1.1.0 (from -r VITS/requirements_xtts.txt (line 9)) Downloading unidic-1.1.0.tar.gz (7.7 kB) Preparing metadata (setup.py) ... done Requirement already satisfied: langid in e:\anaconda3\envs\linlytalkerlaogao\lib\site-packages (from -r VITS/requirements_xtts.txt (line 10)) (1.1.6) Collecting deepspeed (from -r VITS/requirements_xtts.txt (line 11)) Downloading deepspeed-0.14.2.tar.gz (1.3 MB) ---------------------------------------- 1.3/1.3 MB 14.0 MB/s eta 0:00:00 Preparing metadata (setup.py) ... error error: subprocess-exited-with-error

× python setup.py egg_info did not run successfully. │ exit code: 1 ╰─> [36 lines of output] test.c LINK : fatal error LNK1181: 无法打开输入文件“aio.lib” 系统找不到指定的文件。 系统找不到指定的文件。 系统找不到指定的文件。 系统找不到指定的文件。 系统找不到指定的文件。 系统找不到指定的文件。 Traceback (most recent call last): File "", line 2, in File "", line 34, in File "C:\Users\Administrator\AppData\Local\Temp\pip-install-y6ubg7yq\deepspeed_72617cae880f4f1d8e6c1569fd949e57\setup.py", line 190, in ext_modules.append(builder.builder()) File "C:\Users\Administrator\AppData\Local\Temp\pip-install-y6ubg7yq\deepspeed_72617cae880f4f1d8e6c1569fd949e57\op_builder\builder.py", line 659, in builder extra_link_args=self.strip_empty_entries(self.extra_ldflags())) File "C:\Users\Administrator\AppData\Local\Temp\pip-install-y6ubg7yq\deepspeed_72617cae880f4f1d8e6c1569fd949e57\op_builder\inference_cutlass_builder.py", line 71, in extra_ldflags import dskernels ModuleNotFoundError: No module named 'dskernels' DS_BUILD_OPS=1  [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.  [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.  [WARNING]  cpu_adam requires the 'lscpu' command, but it does not exist!  [WARNING]  cpu_adam attempted to query 'lscpu' after failing to use py-cpuinfo to detect the CPU architecture. 'lscpu' does not appear to exist on your system, will fall back to use -march=native and non-vectorized execution.  [WARNING]  cpu_adam requires the 'lscpu' command, but it does not exist!  [WARNING]  cpu_adam attempted to query 'lscpu' after failing to use py-cpuinfo to detect the CPU architecture. 'lscpu' does not appear to exist on your system, will fall back to use -march=native and non-vectorized execution.  [WARNING]  cpu_adagrad requires the 'lscpu' command, but it does not exist!  [WARNING]  cpu_adagrad attempted to query 'lscpu' after failing to use py-cpuinfo to detect the CPU architecture. 'lscpu' does not appear to exist on your system, will fall back to use -march=native and non-vectorized execution.  [WARNING]  cpu_adagrad requires the 'lscpu' command, but it does not exist!  [WARNING]  cpu_adagrad attempted to query 'lscpu' after failing to use py-cpuinfo to detect the CPU architecture. 'lscpu' does not appear to exist on your system, will fall back to use -march=native and non-vectorized execution.  [WARNING]  cpu_lion requires the 'lscpu' command, but it does not exist!  [WARNING]  cpu_lion attempted to query 'lscpu' after failing to use py-cpuinfo to detect the CPU architecture. 'lscpu' does not appear to exist on your system, will fall back to use -march=native and non-vectorized execution.  [WARNING]  cpu_lion requires the 'lscpu' command, but it does not exist!  [WARNING]  cpu_lion attempted to query 'lscpu' after failing to use py-cpuinfo to detect the CPU architecture. 'lscpu' does not appear to exist on your system, will fall back to use -march=native and non-vectorized execution.  [WARNING]  Please specify the CUTLASS repo directory as environment variable $CUTLASS_PATH  [WARNING]  Filtered compute capabilities ['6.0', '6.1', '7.0']  [WARNING]  Filtered compute capabilities ['6.0', '6.1', '7.0'] [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip. error: metadata-generation-failed

× Encountered error while generating package metadata. ╰─> See above for output.

note: This is an issue with the package mentioned above, not pip. hint: See above for details.

(LinlyTalkerLaoGao) E:\GaoLLM\Test\LinlyTalkerLaoGao\Linly-Talker>conda install -c conda-forge

CondaValueError: too few arguments, must supply command line package specs or --file

Kedreamix commented 6 months ago

emmmmm,这个应该是dskernels库并没有安装正确,可以尝试使用,pip install dskernels 来安装缺失的库