Sorry, but (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/tor

Sorry, but (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$ I'm sure you could eventually help get this working, which is kind of you, but the point is the "supposed tos" don't work either. It needs to be comprehensively fixed if python really wants to be approachable. Maybe it doesn't. It's also just not a good citizen when it comes to heterogeneous apps on the same system. 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.