tortoise-tts
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neonbjb
Failed installation in conda: llvmlite dep problems
WINDOWS 11
It seems that there is problem with local installation and dependencies. Tried it on 3 different PCs and they all failed at the same thing: llvmlite.
note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for llvmlite
full error log of problematic part
Building wheels for collected packages: llvmlite Building wheel for llvmlite (setup.py) ... error error: subprocess-exited-with-error
× python setup.py bdist_wheel did not run successfully.
│ exit code: 1
╰─> [24 lines of output]
running bdist_wheel
C:\Users\Perkel\anaconda3\envs\tortoise-tts\python.exe C:\Users\Perkel\AppData\Local\Temp\pip-install-h64ypltb\llvmlite_da1b03a8c0c54665b04817b643b9bae3\ffi\build.py
Trying generator 'Visual Studio 14 2015 Win64'
Traceback (most recent call last):
File "C:\Users\Perkel\AppData\Local\Temp\pip-install-h64ypltb\llvmlite_da1b03a8c0c54665b04817b643b9bae3\ffi\build.py", line 168, in
note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for llvmlite
Also this confuses me:
"I highly recommend using the Conda installation path"
what does that mean ? Maybe this is mentioned problem with dependencies if not "I highly recommend using the Conda installation path" used properly.
FIX for WINDOWS11
removed numba and llvmlite from requirements.txt then installed them manually via:
conda install numba
Also made sure so that virtual env was set to Python3.9
Full procedure to install it on Windows 11:
Install Python 3.9 (add to path) Install Anaconda (no path) open up anaconda prompt with windows search type in:
conda create --name tortoise-tts python=3.9
conda activate tortoise-tts
then type in:
cd anaconda3
conda install pytorch torchvision torchaudio pytorch-cuda=11.6 -c pytorch -c nvidia
conda install -c conda-forge pysoundfile
git clone https://github.com/neonbjb/tortoise-tts.git
cd tortoise-tts
Now go with file explorer to: C:\users\YOURUSERFOLDER\anaconda3\tortoise-tts open requirements.txt and delete numba and llvmlite entries then type in in open terminal:
python -m pip install -r ./requirements.txt
conda install numba
python setup.py install
After that everything should be installed ok. you may try now:
python tortoise/do_tts.py --text "I'm going to speak this" --voice random --preset fast
I was having this issue but this guide wasn't working. I was on Python 3.9 and had to first reinstall Python as Python 3.7.13. After doing that I was able to install llvmlite normally and just followed this tutorial: https://www.youtube.com/watch?v=J3-jfS29RF4&ab_channel=NerdyRodent. Others were saying 3.7 wasn't working anymore so it might just be trial and error, and reinstalling a few times. Also, some others said 3.8 sometimes worked.
The issue is that requirements.txt have specific numba version which works on earlier version of python but not on 3.9. Which is why if you remove numba=X.X (and its llvmlite) and just do numba it will install all reqs needed for 3.9 that work.
Imho the issue comes from failing to mention in tutorial which version of python is needed. Probably creator just uses latest at the time and failed to predict that update python might not run something thus creating an issue.
If he said pyton 3.8 was needed or whatever he used then those problems wouldn't be happening.
Solving environment: \
Just wait dude. That solving env can take a lot of time. I have 5800X3D CPU and m.2 SSD and sometimes it could take me 10-15 minutes for it to go. With slower CPU this could go a lot longer i bet.
The issue is that requirements.txt have specific numba version which works on earlier version of python but not on 3.9. Which is why if you remove numba=X.X (and its llvmlite) and just do numba it will install all reqs needed for 3.9 that work.
Imho the issue comes from failing to mention in tutorial which version of python is needed. Probably creator just uses latest at the time and failed to predict that update python might not run something thus creating an issue.
If he said pyton 3.8 was needed or whatever he used then those problems wouldn't be happening.
This got me hooked up right off the bat, working as expected! (Sans some misbehaving with pip and running only on CPU for some reason but those are probably unrelated issues.)
Thank for this @perkel666 ! Been pulling my hair out with a numpy error on Win11 and a Llvm error on Ubuntu so getting nowhere on any OS. Your guide sorted it on Win11. Had to use Mamba to get past a hang with "Solving Environment..." (https://stackoverflow.com/questions/63734508/stuck-at-solving-environment-on-anaconda)
Thanks for this. I followed @perkel666 on my linux mint box and finally got it all working, python 3.9. Could have been that i just didn't install pytorch lol, but the issue that kept popping up was this llvmlite error.
Got it to work, Kubuntu. Thanks@perkel666!
Made a conda environment for python 3.9, removed numba from the requirements and installed as directed in Perkel's post of Feb1.
Thanks @perkel666 - this was super helpful! I can confirm this works on Windows 10. I did need to make changes to this line however:
conda install pytorch torchvision torchaudio pytorch-cuda=11.6 -c pytorch -c nvidia
I ran it as multiple lines, and did not instal pytorch-cuda because it was giving me errors. I'll need to figure out that next. But anyway, this is what I used instead:
conda install pytorch
conda install torchvision
conda install torchaudio
Running into an interesting error and would like to know if there is a way around it, or a way tg completely clean out this environment and start fresh, this time adhering to the instructions above more precisely.
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RefactoringTool: Line 595: You should use 'operator.mul([value],product(shape,axis=0),axis=0)' here.
Running from scipy source directory.
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C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\integrate\quadpack.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\integrate_ode.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\interpolate\fitpack.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\interpolate\fitpack2.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\interpolate\interpolate.py
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C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\interpolate\ndgriddata.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\io_init_.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\io\matlab\mio4.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\io\matlab\mio5.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\io\matlab\mio5_params.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\io\matlab\miobase.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\lib\blas_init_.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\lib\lapack_init_.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\linalg\basic.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\linalg\decomp.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\linalg\flinalg.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\linalg\lapack.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\linalg\misc.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\ndimage\filters.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\ndimage\fourier.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\ndimage\interpolation.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\ndimage\measurements.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\ndimage\morphology.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\optimize\cobyla.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\optimize\lbfgsb.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\optimize\minpack.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\optimize\nnls.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\optimize\slsqp.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\optimize\zeros.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\signal\bsplines.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\signal\fir_filter_design.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\signal\signaltools.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\signal_init_.py
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C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\sparse\linalg\dsolve\umfpack\umfpack.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\sparse\linalg\eigen\arpack\arpack.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\sparse\linalg\isolve\iterative.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\spatial\distance.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\spatial_init_.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\special\add_newdocs.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\special\basic.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\special\orthogonal.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\special_init_.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\stats\distributions.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\stats\kde.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\stats\morestats.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\stats\mstats_basic.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\stats\stats.py
Traceback (most recent call last):
File "
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.
Running into an interesting error and would like to know if there is a way around it, or a way tg completely clean out this environment and start fresh, this time adhering to the instructions above more precisely.
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\stats\mstats_basic.py
C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\build\py3k\scipy\stats\stats.py
Traceback (most recent call last):
File "<string>", line 2, in <module>
File "<pip-setuptools-caller>", line 34, in <module>
File "C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\setup.py", line 196, in <module>
setup_package()
File "C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\setup.py", line 176, in setup_package
setup(
File "C:\Users\hpuxa\anaconda3\lib\site-packages\numpy\distutils\core.py", line 135, in setup
config = configuration()
File "C:\Users\hpuxa\AppData\Local\Temp\pip-install-f_g0pmo9\scipy_9feaac88c7dd4c86a0b1aff9f513dd1c\setup.py", line 138, in configuration
config.add_subpackage('scipy')
File "C:\Users\hpuxa\anaconda3\lib\site-packages\numpy\distutils\misc_util.py", line 1014, in add_subpackage
config_list = self.get_subpackage(subpackage_name, subpackage_path,
File "C:\Users\hpuxa\anaconda3\lib\site-packages\numpy\distutils\misc_util.py", line 980, in get_subpackage
config = self._get_configuration_from_setup_py(
File "C:\Users\hpuxa\anaconda3\lib\site-packages\numpy\distutils\misc_util.py", line 922, in _get_configuration_from_setup_py
config = setup_module.configuration(*args)
File "scipy\setup.py", line 4, in configuration
config = Configuration('scipy',parent_package,top_path)
File "C:\Users\hpuxa\anaconda3\lib\site-packages\numpy\distutils\misc_util.py", line 771, in __init__
raise ValueError("%r is not a directory" % (package_path,))
ValueError: 'build\\py3k\\scipy' is not a directory
[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.
if you did perkel666's fix, try using scipy==1.10.1 too in requirements.txt (all the numba installations should be removed as per the fix).
What about Python 3.11 now? What is the new way to install it all on Windows 11? Or should I stick with the old 3.9 version? And also what to do if sth. gets fucked up like 2 python versions? How to even uninstall that? I can uninstall Anaconda but I dont see python anywhere and that is still installed even without Anaconda.
@Bananamax Nope, the target numpy version needs python<3.10, so you should stick with 3.9. I can't help much with conda and windows, I'm not using either.
So its ok to install Python 3.9 and then Anaconda but with 3.10? And also what about Cuda its no prob to use 11.8 or is that also limited to 11.6? In the end when generating a voice file it says "ModuleNotFoundError: No module named 'tortoise.models'" so I dont know if I can solve that but maybe with other versions for Windows 11 ...
@Bananamax ,
its ok to install Python 3.9
You must use 3.9, 3.8 or 3.7, to be more precise.
If by 'conda but with 3.10', you mean that activating conda puts you into a shell where running python --version yields something different that the 3 previously mentioned versions, I'd say that's not what you want. Again, I'm not well versed with anaconda.
The available CUDA version really depends on your torch and torchaudio installation, as they adopt and drop CUDA supports throughout newer releases. On my system, Tortoise-TTS works with the latest version of both package (v2.0.0 and v2.0.1, respectively. You can check your version with pip show <package>, and use pip uninstall <package> && pip install <package> to get the latest version). If you currently have the latest version (torch==2.0.0), you should be able to use CUDA 11.7 and CUDA 11.8. I don't know why python would give you that ModuleNotFoundError, maybe you're not running the right command or you ran from a directory that's not tortoise-TTS' top directory.
I just remembered Github now have a discussion forum for each repository. I suggest, for good netiquette, that you post any further question unrelated to solving this issue there and that you tag me if you do.
Here's my configuration (I use venv instead of conda);
# Download tortoise-tts
git clone https://github.com/neonbjb/tortoise-tts.git
cd tortoise-tts
# Create and activate a new python environment named 'venv' using python 3.9 (Other options: 3.8, 3.7)
python3.9 -m venv venv && . venv/bin/activate
# Install dependencies
pip install numba pydantic torch torchaudio progressbar
# Compile and install tortoise
python setup.py install
# Test installation (also download required runtime assets)
tortoise/do_tts.py --text "Hello world" --voice random --preset fast
# You should be good to go.
Trying to get this going in Windows and followed above by Perkel666 a couple of times. End up getting the following error, which I haven't been able to figure out. Any help would be appreciated. Thanks.
(base) PS C:\users\alan\tortoise-tts> python tortoise/do_tts.py --text "I'm going to speak this" --voice random --preset fast
Traceback (most recent call last):
File "C:\users\alan\tortoise-tts\tortoise\do_tts.py", line 7, in
Seems like a path is missing.
python -m pip install -r ./requirements.txt
produces the following error using the perkel666 guide.
I think something is klujdgeed and I could use some help cleaning stuff out and starting freesh.
ValueError: 'build\py3k\scipy' is not a directory [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.
@hpuxadmin
-
Make sure you are using python 3.9.
-
In requirements.txt, change the lines for numba and scipy so that they don't specify a version (remove everything from == to the end of the line.) Note that there are two lines for numba, likely by mistake - you need to update both of them.
After that, python -m pip install -r ./requirements.txt and the rest of the installation / execution instructions should work.
Yes @benmurrell that definitely fixes the install issue. hi5 Progress is a most important product here. I have to remove a default rocket editor that I did not use after the trial ended. Quite a lot like Linux very nice. I will report further rsults once the rocket editor is gone.
I think my messing around the install went off kilter tortoise/do_tts.py --text "Hello world" --voice random --preset fast prompts me fro an editor. I am going to remove tortise and start from scratch with the changes that got the install results fixed.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\hpuxa\anaconda3\lib\site-packages\soundfile.py", line 178, in
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\hpuxa\anaconda3\tortoise-tts\tortoise\do_tts.py", line 7, in
This seems to be my fault.
So due to great help the install now goes without a hitch. Using the program produces the error above. I will now attack the problem logically and try to figure out what the issue is via the error message. appears to be missing a dll file. Most likely do to my prior messing around.
apparently the dll file libsndfile.dll is not on my system. I am currently hunting for the conda install command that might corrrect this. conda install -c conda-forge libsndfileconda is running. Might be able to self solve this.
BANZAI! I followed the revised, complete procedure above and it is geting ready to give the first sound.
I used an older pythn 3.9.13 version on anaconda3 and python 3.9.x 64 bit Python for windows.
@Marius-Sheppard you’re more than welcome to submit a PR that fixes the issues you’ve come across.
I had everything working and ran several script examples. tortise-tts performed flawlessly.
I come back to it and suddenly nothing works. It would appear that I or perhaps windows update wiped out my environment variables that had everything working well.
(base) PS C:\Users\hpuxa\anaconda3\tortoise-tts> python tortoise/do_tts.py --text "Launch the alert vipers." --voice train_grace --preset fast
Traceback (most recent call last):
File "C:\Users\hpuxa\anaconda3\tortoise-tts\tortoise\do_tts.py", line 5, in
I am quite the newbie with Powershell. I am going to tag a few candidates onto the end of the environment variable $Env:Path and see if I can fix it.
@hpuxadmin I think the problem you're having after reboot is that you are back to the base anaconda environment. You set up a new anaconda environment for python 3.9. You need to activate that environment again before running do_tts.py.
what commands would be needed:
Variation on this?
conda create --name tortoise-tts python=3.9 conda activate tortoise-tts
maybe not conda create?
It is working again, I had to do the install over pretty much. I did not repeat the git clone. So I am really hurting fr how to reactivate the environment I have now after the next reboot. I am checking with power shell of how to save and restore all the environment variables focusing on $Env path. This is a handy tool and I would be very grateful for some help.
I think I am very close here.
(base) PS C:\Users\hpuxa\anaconda3\tortoise-tts> conda info -e
conda environments:
base * C:\Users\hpuxa\anaconda3 tortoise-tts C:\Users\hpuxa\anaconda3\envs\tortoise-tts
Above is the non working session.
In the working session I this:
conda info -e
conda environments:
base C:\Users\hpuxa\anaconda3 tortoise-tts * C:\Users\hpuxa\anaconda3\envs\tortoise-tts
in case its important I have saved $Env:path to a file in here. $Env:path >working.path
I am testing as follows from the non-working session cd C:\Users\hpuxa\anaconda3\envs\tortoise-tts pwd conda activate $pwd
The vi(vim) that I added to the working environment now works.
To think people at work laughed at me when I talked to myself(which is what I am doing here).