# Inference-only dependencies — no training, no data-prep, no evaluation metrics.
# PyTorch CUDA 12.6 wheels; PyPI as fallback for everything else.
--index-url https://download.pytorch.org/whl/cu126
--extra-index-url https://pypi.org/simple/

# Core ML (inference) — torch/torchaudio installed in a separate Dockerfile layer
transformers>=4.40.0
accelerate>=0.27.0
peft>=0.10.0          # needed to load LoRA adapter layers if checkpoint uses them

# Audio
soundfile>=0.12.1
soxr>=0.3.7
silero-vad>=6.0.0

# Gemini post-processing
google-genai>=1.73.1
tenacity>=8.2.0
httpx>=0.27.0

# API server
fastapi>=0.111.0
uvicorn[standard]>=0.29.0
python-multipart>=0.0.9

# Validation & config
pydantic>=2.13.2
pydantic-settings>=2.3.0

# Utilities
numpy>=1.24.0
python-dotenv>=1.2.2
huggingface-hub>=0.22.0