# ── Web framework ──────────────────────────────────────────────────────────────
fastapi==0.115.12
uvicorn[standard]==0.34.2
python-multipart==0.0.20

# ── ML / NLP ──────────────────────────────────────────────────────────────────
# Embedding model: all-mpnet-base-v2 (better MTEB scores than MiniLM)
sentence-transformers==4.1.0
# ASR: faster-whisper (4x faster than transformers pipeline)
faster-whisper==1.0.3
transformers==4.51.3
# torch/torchaudio: use >= so HF Space can install the right CUDA build
torch>=2.5.0
torchaudio>=2.5.0
accelerate==1.6.0
# NLP utilities
scikit-learn==1.6.1
numpy>=1.26.0
spacy==3.8.4

# ── Resume parsing ─────────────────────────────────────────────────────────────
pdfplumber==0.11.6
docx2txt==0.8

# ── Audio ─────────────────────────────────────────────────────────────────────
soundfile==0.13.1
librosa==0.11.0
ffmpeg-python==0.2.0

# ── LLM question generation (via HuggingFace Inference API) ───────────────────
requests==2.32.3
httpx==0.28.1
huggingface-hub>=0.26.0

# ── LLM scoring engine — Qwen2.5-7B-Instruct 4-bit (P1-A) ────────────────────
# Required for 4-bit NF4 quantization on GPU
bitsandbytes>=0.43.0

# ── Utilities ─────────────────────────────────────────────────────────────────
pydantic>=2.9.0
python-dotenv==1.1.0
jiwer==3.1.0

# ── MongoDB async driver ─────────────────────────────────────────────────────
motor>=3.3.0
pymongo>=4.6.0
firebase-admin>=6.4.0

# ── Observability ────────────────────────────────────────────────────────────
prometheus-client==0.20.0

# ── Testing ──────────────────────────────────────────────────────────────────
pytest==8.3.4
pytest-asyncio==0.25.3
pytest-env==1.1.5

# ── Dev / Linting (not deployed to production) ────────────────────────────────
black==24.10.0
isort==5.13.2