olivas/cloud_run/processing/requirements.txt at f217a5aea67159fa223476ac36e67b00a592d3eb - Oliver/olivas - Forgejo: Beyond coding. We Forge.

Oliver/olivas

Vadym Samoilenko 2c5e17c7c4 Add Google Cloud Run offloading for ML inference and image processing

- Create cloud_run/saliency: FastAPI service running DeepGaze I/IIE/III
  on Cloud Run (4 vCPU, 16GB RAM); pre-downloads model weights in Docker
  build to eliminate cold-start delays; returns saliency map + gaze
  sequence + hotspots + design scores
- Create cloud_run/processing: lightweight FastAPI service for heatmap
  generation and gaze sequence visualization (2 vCPU, 4GB RAM)
- Add cloud_run/deploy.sh for gcloud deployment to project optical-414516
  in region europe-west2
- Refactor analysis pipeline to route via Cloud Run when
  CLOUD_RUN_SALIENCY_URL is set, with local fallback for dev mode
- Add cloud_run_client.py with sync httpx wrappers for background tasks
- Split pyproject.toml: base = API-only deps, [ml] = torch/deepgaze for
  local dev; production Dockerfile is now lightweight (~no PyTorch)
- Preserve Dockerfile.full + docker-compose.dev.yml for local ML dev
- Auth via X-Internal-Secret header (CLOUD_RUN_SECRET env var)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-03-04 19:39:52 +00:00

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 fastapi>=0.115.0
 uvicorn[standard]>=0.30.0
 pillow>=10.0
 numpy>=1.26
 matplotlib>=3.8
 scipy>=1.11
 reportlab>=4.0
 pydantic>=2.0