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# For loading environment variables from .env python-dotenv # Core ML libraries for MPS/Apple Silicon compatibility torch>=2.1.0 transformers>=4.36.0 datasets>=2.15.0 tokenizers>=0.15.0 # PEFT and training peft>=0.7.0 accelerate>=0.25.0 # RAG and Search dependencies sentence-transformers>=2.2.0 faiss-cpu>=1.7.4 rank-bm25>=0.2.2 nltk>=3.8.0 # Data handling pandas>=1.5.0 numpy>=1.24.0 # Quantization (optional - only for CUDA, not needed for MPS) bitsandbytes>=0.42.0 # Skip on MPS/Apple Silicon # Jupyter and development jupyter>=1.0.0 ipywidgets>=8.0.0 # Utilities tqdm>=4.64.0 scikit-learn>=1.3.0 openai>=1.0.0 streamlit huggingface_hub |