# Core dependencies for speech transcription
gradio>=4.0.0
numpy>=1.21.0
scipy>=1.7.0

# Speech processing
faster-whisper>=0.9.0
librosa>=0.9.0

# ML models and transformers
transformers>=4.20.0
torch>=1.12.0
tokenizers>=0.13.0

# Question classification and sentence boundary detection
punctuators>=0.1.0

# Environment configuration
python-dotenv>=0.19.0

# Optional CUDA support (install manually if needed)
# torch-audio>=0.12.0  # For CUDA audio processing
# torchaudio>=0.12.0   # Alternative audio processing

# Development dependencies (optional)
# jupyter>=1.0.0
# matplotlib>=3.5.0
# seaborn>=0.11.0

# System dependencies
# Note: Some packages may require additional system libraries:
# - For audio processing: libsndfile, ffmpeg
# - For CUDA: CUDA toolkit, cuDNN
#
# Installation notes:
# 1. For CPU-only: pip install -r requirements.txt
# 2. For CUDA: Install PyTorch with CUDA support first, then: pip install -r requirements.txt
# 3. Create .env file with USE_CUDA=true for GPU acceleration