- Comment out procname in requirements-nvidia.txt
- Comment out procname in requirements-vulkan.txt
- Add note about requiring libproc2-dev for procname

- build.sh: Update package list to include glslc, glslang-tools, glslang-dev
- README.md: Update installation instructions with correct package names
- Add better guidance for finding glslc in non-standard locations

- Update build.sh to check for glslc before attempting build
- Update README with correct package names (glslang-tools/glslang)
- Add troubleshooting for missing glslc error

- Add build.sh script with nvidia/vulkan arguments (default: nvidia)
- Create backend abstraction: ModelBackend base class
- Implement NvidiaBackend using HuggingFace Transformers
- Implement VulkanBackend using llama-cpp-python with GGUF models
- Add separate requirements files for nvidia and vulkan backends
- Add --backend argument with auto/nvidia/vulkan options
- Add Vulkan-specific options: --n-gpu-layers, --n-ctx
- Make procname import optional
- Update README with comprehensive Vulkan usage instructions
- Add Vulkan troubleshooting section
- Add GGUF model recommendations

The application now supports:
- NVIDIA GPUs via PyTorch/Transformers (HuggingFace models)
- AMD GPUs via llama-cpp-python/Vulkan (GGUF models)

- Add InvalidLogitsProcessor to replace NaN and Inf values with finite numbers
- Add _validate_generation_params() to clamp temperature and top_p to valid ranges
- Add try-except blocks with fallback to greedy decoding on numerical errors
- Add error handling in streaming responses to prevent crashes
- Fix temperature=0 handling to use greedy decoding instead of sampling

- Add main server script with FastAPI and memory-aware model loading
- Add requirements.txt with dependencies and platform-specific PyTorch options
- Add comprehensive README.md with installation, usage, and troubleshooting
- Add LICENSE.md with GPLv3 license