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rhasspy / piper

A fast, local neural text to speech system
https://rhasspy.github.io/piper-samples/
MIT License
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ERROR: pip's dependency in piper_multilingual_training_notebook #646

Closed TeoColuccio closed 1 week ago

TeoColuccio commented 1 week ago

I am trying to use this notebook in colab: https://github.com/rhasspy/piper/blob/master/notebooks/piper_multilingual_training_notebook.ipynb But I have the following errors in software installation (Install software):

/content/piper/src/python
Collecting pip==24.0
  Downloading pip-24.0-py3-none-any.whl.metadata (3.6 kB)
Downloading pip-24.0-py3-none-any.whl (2.1 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.1/2.1 MB 17.8 MB/s eta 0:00:00
Installing collected packages: pip
  Attempting uninstall: pip
    Found existing installation: pip 24.1.2
    Uninstalling pip-24.1.2:
      Successfully uninstalled pip-24.1.2
Successfully installed pip-24.0
DEPRECATION: pytorch-lightning 1.7.7 has a non-standard dependency specifier torch>=1.9.*. pip 24.1 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of pytorch-lightning or contact the author to suggest that they release a version with a conforming dependency specifiers. Discussion can be found at https://github.com/pypa/pip/issues/12063
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
albucore 0.0.19 requires numpy>=1.24.4, but you have numpy 1.24.0 which is incompatible.
albumentations 1.4.20 requires numpy>=1.24.4, but you have numpy 1.24.0 which is incompatible.
chex 0.1.87 requires numpy>=1.24.1, but you have numpy 1.24.0 which is incompatible.
seaborn 0.13.2 requires numpy!=1.24.0,>=1.20, but you have numpy 1.24.0 which is incompatible.
torchaudio 2.5.1+cu121 requires torch==2.5.1, but you have torch 1.13.0+cu117 which is incompatible.
torchvision 0.20.1+cu121 requires torch==2.5.1, but you have torch 1.13.0+cu117 which is incompatible.
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.0/2.0 MB 17.8 MB/s eta 0:00:00
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 24.3/24.3 MB 73.2 MB/s eta 0:00:00
DEPRECATION: pytorch-lightning 1.7.7 has a non-standard dependency specifier torch>=1.9.*. pip 24.1 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of pytorch-lightning or contact the author to suggest that they release a version with a conforming dependency specifiers. Discussion can be found at https://github.com/pypa/pip/issues/12063
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.2/4.2 MB 32.9 MB/s eta 0:00:00
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 519.2/519.2 kB 38.9 MB/s eta 0:00:00
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.0/2.0 MB 78.4 MB/s eta 0:00:00
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 33.5/33.5 MB 45.1 MB/s eta 0:00:00
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 38.4/38.4 MB 17.4 MB/s eta 0:00:00
DEPRECATION: pytorch-lightning 1.7.7 has a non-standard dependency specifier torch>=1.9.*. pip 24.1 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of pytorch-lightning or contact the author to suggest that they release a version with a conforming dependency specifiers. Discussion can be found at https://github.com/pypa/pip/issues/12063
Requirement already satisfied: gdown in /usr/local/lib/python3.10/dist-packages (5.2.0)
Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.46.2)
Requirement already satisfied: beautifulsoup4 in /usr/local/lib/python3.10/dist-packages (from gdown) (4.12.3)
Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from gdown) (3.16.1)
Requirement already satisfied: requests[socks] in /usr/local/lib/python3.10/dist-packages (from gdown) (2.32.3)
Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from gdown) (4.66.6)
Requirement already satisfied: huggingface-hub<1.0,>=0.23.2 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.26.2)
Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.24.0)
Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (24.2)
Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.2)
Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2024.9.11)
Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.4.5)
Requirement already satisfied: tokenizers<0.21,>=0.20 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.20.3)
Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.23.2->transformers) (2024.10.0)
Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.23.2->transformers) (4.12.2)
Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.10/dist-packages (from beautifulsoup4->gdown) (2.6)
Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests[socks]->gdown) (3.4.0)
Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests[socks]->gdown) (3.10)
Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests[socks]->gdown) (2.2.3)
Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests[socks]->gdown) (2024.8.30)
Requirement already satisfied: PySocks!=1.5.7,>=1.5.6 in /usr/local/lib/python3.10/dist-packages (from requests[socks]->gdown) (1.7.1)
DEPRECATION: pytorch-lightning 1.7.7 has a non-standard dependency specifier torch>=1.9.*. pip 24.1 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of pytorch-lightning or contact the author to suggest that they release a version with a conforming dependency specifiers. Discussion can be found at https://github.com/pypa/pip/issues/12063
Compiling /content/piper/src/python/piper_train/vits/monotonic_align/core.pyx because it changed.
[1/1] Cythonizing /content/piper/src/python/piper_train/vits/monotonic_align/core.pyx
/usr/local/lib/python3.10/dist-packages/Cython/Compiler/Main.py:381: FutureWarning: Cython directive 'language_level' not set, using '3str' for now (Py3). This has changed from earlier releases! File: /content/piper/src/python/piper_train/vits/monotonic_align/core.pyx
  tree = Parsing.p_module(s, pxd, full_module_name)
performance hint: core.pyx:7:5: Exception check on 'maximum_path_each' will always require the GIL to be acquired.
Possible solutions:
    1. Declare 'maximum_path_each' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions.
    2. Use an 'int' return type on 'maximum_path_each' to allow an error code to be returned.
performance hint: core.pyx:38:6: Exception check on 'maximum_path_c' will always require the GIL to be acquired.
Possible solutions:
    1. Declare 'maximum_path_c' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions.
    2. Use an 'int' return type on 'maximum_path_c' to allow an error code to be returned.
performance hint: core.pyx:42:21: Exception check after calling 'maximum_path_each' will always require the GIL to be acquired.
Possible solutions:
    1. Declare 'maximum_path_each' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions.
    2. Use an 'int' return type on 'maximum_path_each' to allow an error code to be returned.
Done!
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rmcpantoja commented 1 week ago

Hi, The notebook you are using is too old! Official piper's repo doesn't have the updated ones. Use them from: https://github.com/rmcpantoja/piper/tree/master/notebooks

Cheers.

TeoColuccio commented 1 week ago

Thank you very much!