What happens when you choose the CPU as the computation backend, and then click install PyTorch?
You don’t seem to have a NVIDIA gpu, so CUDA part is moot.
Also know that with CPU-only torch, NNInteractive and deep-learnign tools will work slow. The main speed up comes from fast GPUs (which you don’t seem to have in your system).
ThisCPU model was released 5 years ago and it wad not high-end even then, so it is expected that you run into difficulties when you want to use it for CPU-only inference. How much RAM do you have?
Your Python environment is quite messy by now, so I would recommend to remove the entire Slicer installation folder and install Slicee-5.8.1, install only PyTorch extension, and then use it to install a CPU-only pytorch. If you encounter any errors, copy here the content of the Python console and the Slicer application log (menu: Help / Report a bug).
You have a long series of SSL errors meaning necessary packages is failing to download on this connection. This happens sometimes when institutions use their own unsigned certificates or have strict firewalls. If thats the case you will have to work with your IT department to resolve the case.
The easiest way to test this is to use a public network and see if things out.