Disable modules if HW support is missing

[be-a-panther]

Describe the bug The tensorflow library needs either AVX or a CUDA capable GPU. In the case of missing a specific GPU and an AVX capable cpu, slips crashes while loading the modules.

To Reproduce

1. use a cpu without avx
2. start slips
3. slips crashs

Expected behavior slips print a warning which modules get deactivated and runs https://github.com/stratosphereips/StratosphereLinuxIPS/blob/94520610f6f1f6bf9705c6075e35a06543fee013/managers/process_manager.py#L353

Screenshots If applicable, add screenshots to help explain your problem.

Branch v1.1

Environment (please complete the following information):

• OS: Debian
• Version: bookworm
• Python version: 3.11.2
• Are you running slips in docker or locally? yes
• Docker version (if running slips in docker) 20.10.24+dfsg1
• Slips docker image used (if running slips in docker) ubuntu-image, dependency-image

Additional context python3 -c "from cpufeature.extension import CPUFeature; print (CPUFeature.get('AVX'))"

[AlyaGomaa]

hiii @be-a-panther that's a nice suggestion! i'm on it