requirements.txt

# requirements.txt — Enterprise Lens V4 (rebuild: omegaconf)

--extra-index-url https://download.pytorch.org/whl/cpu

# ── Web framework ────────────────────────────────────────────────
fastapi==0.115.6
uvicorn[standard]==0.32.1
python-multipart==0.0.20

# ── PyTorch CPU-only ─────────────────────────────────────────────

torch==2.3.1+cpu
torchvision==0.18.1+cpu

# ── HuggingFace stack ─────────────────────────────────────────────
# Pin transformers to 4.x — AdaFace CVLFaceRecognitionModel (trust_remote_code)
# uses _tied_weights_keys (old API). transformers 5.0+ renamed it to
# all_tied_weights_keys → crash on load. Pin to last stable 4.x to fix.
transformers>=4.40.0,<5.0.0
huggingface_hub>=0.26.0
safetensors>=0.4.0
tokenizers>=0.20.0
sentencepiece
accelerate>=1.1.0
omegaconf

# ── InsightFace — SCRFD + ArcFace-R100 ───────────────────────────
# insightface 0.7.3 has no pre-built wheel → pip tries to compile C++
# and fails without g++. Using 0.7.3 with g++ now added to Dockerfile.
# onnxruntime provides CPU ONNX inference for InsightFace models.
insightface==0.7.3
onnxruntime==1.19.2
huggingface-hub>=0.22.0

# ── YOLO — object segmentation ───────────────────────────────────
ultralytics==8.3.27

# ── Computer vision ───────────────────────────────────────────────
opencv-python-headless==4.10.0.84
Pillow==11.0.0
numpy==1.26.4

# ── Vector DB + CDN ──────────────────────────────────────────────
pinecone==5.4.1
cloudinary==1.41.0

# ── Async HTTP ───────────────────────────────────────────────────
aiohttp==3.11.9

# ── Utilities ────────────────────────────────────────────────────
loguru==0.7.2
inflect==7.4.0
python-dotenv==1.0.1

fvcore