Added GPU-enabled Docker configuration:
- Dockerfile.base.gpu: CUDA 12.1 base with llama-cpp-python GPU support
- Dockerfile.gpu: HF Spaces GPU deployment dockerfile
- build-and-push-gpu.sh: Script to build and push GPU image
- Updated llm_handler.py to use N_GPU_LAYERS env variable
To use GPU:
1. Build: ./build-and-push-gpu.sh
2. Switch HF Space to GPU hardware
3. Use Dockerfile.gpu for deployment
Expected speedup: ~15s → 1-3s per response
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
