# EmpathRAG — Slim runtime dependencies
#
# These are the packages the live Gradio demo and the Hugging Face Space
# actually import at runtime. For the full training/baseline stack
# (RoBERTa, DeBERTa, Mistral, FAISS, etc.), use requirements-dev.txt.

# Demo UI
gradio==4.44.1

# Hybrid route classifier (TF-IDF + logistic regression)
scikit-learn==1.8.0
scipy==1.17.1
numpy>=2.1,<3.0

# Tabular utilities
pandas==2.3.3

# Support-plan PDF export (uses bundled DejaVu font for Unicode)
fpdf2==2.8.4
matplotlib>=3.9,<4.0

# Local development convenience (.env loading)
python-dotenv>=1.0

# HTTP client (Groq + Anthropic API calls)
requests>=2.31

# Progress bars (used by some scripts)
tqdm>=4.67