# 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

# Polyfill for stdlib `audioop`, removed in Python 3.13 (PEP 594).
# pydub (a gradio dep) still imports it, so without this the Space crashes
# at import time. Conditional install: only needed on 3.13+.
audioop-lts; python_version >= "3.13"

# gradio 4.44.1 still imports HfFolder, which was removed in huggingface_hub 1.0.
# Pin to the 0.x line so the resolver does not pull 1.x from the HF Spaces base
# image (which installs huggingface_hub>=0.30 with no upper bound).
huggingface_hub>=0.30,<1.0

# 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