# --- CORE AI & DEEP LEARNING ---
torch>=2.2.0              # The engine for DeBERTa and ByT5
transformers>=4.37.0      # Hugging Face library for NLP models
sentence-transformers>=2.3.0 # For the MiniLM embedding layer
accelerate>=0.27.0        # Optimizes model loading (CPU/GPU)

# --- CLASSICAL MACHINE LEARNING ---
xgboost>=2.0.3            # For the Fast Ensemble (Model A & B)
scikit-learn>=1.4.0       # For Random Forest & Meta-Learner
numpy>=1.26.0             # Math operations

# --- SECURITY & DECRYPTION ---
pycryptodome>=3.20.0      # For AES & RSA decryption (Crypto.Cipher)
base58>=2.1.1             # For decoding Base58 (Bitcoin-style)
text-unidecode>=1.3       # For normalizing Leetspeak characters
wordsegment>=1.3.1        # For fixing spaced text (i g n o r e)

# --- API & SERVER ---
fastapi>=0.109.0          # The web framework
uvicorn[standard]>=0.27.0 # The server implementation
pydantic>=2.6.0           # Data validation
python-multipart>=0.0.9   # For handling file uploads (if needed later)
jinja2>=3.1.3             # For rendering the HTML templates

# --- OPTIONAL / MEMORY ---
chromadb>=0.4.22          # Vector database for Long-Term Memory
langdetect
deep_translator