# CPU-optimized dependencies for FitTürkAI RAG system (Linux Compatible)
# Core ML libraries - CPU versions with compatible versions
torch>=2.0.0,<2.2.0  # Stable version for CPU
transformers>=4.36.0,<4.40.0  # Compatible with PEFT 0.7.x
sentence-transformers>=2.2.2,<3.0.0  # Lightweight embeddings
accelerate>=0.24.0,<0.26.0  # For model loading optimization

# PEFT with compatible version
peft>=0.7.0,<0.8.0  # For LoRA adapters - compatible with transformers 4.36-4.39

# Text processing
nltk>=3.8
regex>=2022.10.31

# Vector storage and search
faiss-cpu>=1.7.4  # CPU-only FAISS
numpy>=1.24.0,<2.0.0
scipy>=1.9.0

# PDF processing
PyPDF2>=3.0.0
PyMuPDF>=1.23.0  # fitz library for robust PDF text extraction
pymupdf>=1.23.0  # Alternative name for PyMuPDF

# Essential utilities
tqdm>=4.64.0
requests>=2.28.0
gdown>=4.7.0  # For Google Drive downloads
pathlib2>=2.3.0  # Enhanced pathlib for better compatibility
pickle5>=0.0.11  # Better pickle support

# Data handling
pandas>=1.5.0  # For data manipulation if needed
datasets>=2.14.0  # For dataset handling

# Optional but recommended for better performance
tokenizers>=0.15.0  # Fast tokenization
safetensors>=0.3.0  # For safer model loading

# Google Colab specific utilities (uncomment if running on Colab)
# google-colab
# ipywidgets

# System utilities for Linux
psutil>=5.9.0  # System monitoring