# Robot Arm Voice Control System - Dependencies
# Python 3.10+ required
#
# GPU acceleration (CUDA 11.8 / 12.x) is strongly recommended.
# Install PyTorch with CUDA from: https://pytorch.org/get-started/locally/
# Example (CUDA 12.1):
#   pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121

# --- Core scientific stack ---
numpy>=1.24
scipy>=1.11

# --- Serial communication ---
pyserial>=3.5

# --- Computer vision ---
opencv-python>=4.8
ultralytics>=8.0          # YOLOv8

# --- Audio ---
sounddevice>=0.4.6

# --- Speech recognition ---
faster-whisper>=1.0.0     # NOTE: this is faster-whisper, NOT openai-whisper

# --- LLM inference ---
torch>=2.0                # install with CUDA wheels from pytorch.org
transformers>=4.40
accelerate>=0.27
peft>=0.10                # LoRA adapter loading

# --- Visualization (arm_main.py demo) ---
matplotlib>=3.7