Initial commit: Add CoderAI OpenAI-compatible API server

- 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

requirements.txt

+# FastAPI and server dependencies
+fastapi>=0.104.0
+uvicorn[standard]>=0.24.0
+pydantic>=2.5.0
+
+# PyTorch - Uncomment the appropriate version for your system:
+# For NVIDIA (CUDA):
+# torch>=2.0.0
+# torchvision>=0.15.0
+# torchaudio>=2.0.0
+
+# For AMD (ROCm):
+# --index-url https://download.pytorch.org/whl/rocm5.4.2
+# torch>=2.0.0
+# torchvision>=0.15.0
+# torchaudio>=2.0.0
+
+# For CPU only:
+torch>=2.0.0
+
+# ML dependencies
+transformers>=4.35.0
+accelerate>=0.24.0
+
+# System resource detection
+psutil>=5.9.0
+procname>=0.3.0
+
+# Optional: for better performance
+# bitsandbytes>=0.41.0  # for 4-bit/8-bit quantization
+# sentencepiece>=0.1.99  # for some tokenizers
+# protobuf>=3.20.0  # for some models
+
+# Optional: Flash Attention 2 for faster inference on supported GPUs
+# Requires specific CUDA/ROCm versions and may need manual installation
+# Install with: pip install flash-attn --no-build-isolation
+# flash-attn>=2.5.0
+
+# Installation instructions:
+# 1. For NVIDIA GPUs: pip install torch torchvision torchaudio
+# 2. For AMD GPUs: pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.4.2
+# 3. For CPU only: pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu