# Minimal dependencies for Hugging Face Spaces CPU-only deployment
# This reduces build memory and avoids heavy local ML libraries.

gradio>=4.40.0
numpy>=1.24.0
pydantic>=2.0
python-dotenv
huggingface_hub
soundfile
requests

# Local ASR and VAD dependencies for deployed Spaces
torch>=2.4.0
transformers>=4.56,<5.3,!=5.0.*,!=5.1.*
# Optional: silero VAD and ONNX for real-time speech boundary detection
silero-vad
onnxruntime>=1.16.0

# Optional utilities
# Keep the core app lightweight and use fallback or remote inference when needed.