(base) vid@kk:~/D/ai/tortoise-tts$ python3 -m venv venv
  (base) vid@kk:~/D/ai/tortoise-tts$ . venv/bin/activate
  (venv) (base) vid@kk:~/D/ai/tortoise-tts$ python -m pip install -r ./requirements.txt
  Collecting tqdm
    Using cached tqdm-4.65.0-py3-none-any.whl (77 kB)
  Collecting rotary_embedding_torch
    Using cached rotary_embedding_torch-0.2.3-py3-none-any.whl (4.5 kB)

    × python setup.py egg_info did not run successfully.
    │ exit code: 1
    ╰─> [8 lines of output]
        Traceback (most recent call last):
    File "<string>", line 2, in <module>    
    File "<pip-setuptools-caller>", line 34, in <module>    
    File "/tmp/pip-install-i7ubxxkc/scipy_4d5af4f3e2094adca3313ccb41a6d5ff/setup.py", line 196, in <module>    
      setup_package()    
    File "/tmp/pip-install-i7ubxxkc/scipy_4d5af4f3e2094adca3313ccb41a6d5ff/setup.py", line 147, in setup_package    
      from numpy.distutils.core import setup    
        ModuleNotFoundError: No module named 'numpy'
        [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.

  [notice] A new release of pip available: 22.3.1 -> 23.1.2
  [notice] To update, run: pip install --upgrade pip
  (venv) (base) vid@kk:~/D/ai/tortoise-tts$

This isn't the first time venv didn't work for me, then there's anaconda, miniconda, and a bunch of other things that add env and directories. I don't really know what any of them do, and -I don't want to- I'm not an expert on every app on my system, but I can use nearly all of them without pain. (remember this is about ease of use)

Oh yeah, and python 2 vs python 3. <rolls eyes>

It's very much the "works for me" experience from the old days. There's no good learning from it, except dependencies suck and python systems aren't good at them.

I think when releasing anything that includes dependencies that span the operating system, it's just good engineering to use a container approach. Otherwise you're just causing a lot of discomfort in the world for no good reason.

It's funny because chatgpt would give me an answer to this in a few moments, but I'm locked out for a week because it can't figure out where I am.

Now I'm spending my Sunday morning setting up a dockerfile for tortoise-tts. At least I will learn something reusable from that. I guess I will create a PR for it, though it seems the author isn't tending the repo anymore.