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gemini-nano

Experimental Gemini Nano integration demos. Explores on-device AI inference through four separate components — no shared build system; each component is standalone.

Components

Directory Language Purpose
chrome-demo/ HTML/JS Browser demo page for Chrome's built-in Gemini Nano (Prompt API)
python-mediapipe/ Python Gemini Nano via MediaPipe on-device inference
api-server/ Python FastAPI server bridging Gemini Nano inference to HTTP
chrome-bridge/ Node.js/Express Bridge server exposing Chrome's Prompt API over HTTP (server.js)

Local Development

api-server (Python):

cd gemini-nano/api-server
python -m venv .venv && .\.venv\Scripts\Activate.ps1
pip install -r requirements.txt
# start server
python app.py  # or uvicorn if FastAPI

chrome-bridge (Node.js):

cd gemini-nano/chrome-bridge
npm install
.\start.ps1

python-mediapipe:

cd gemini-nano/python-mediapipe
pip install -r requirements.txt
python run_nano.py

chrome-demo: Open chrome-demo/index.html directly in Chrome Canary with chrome://flags/#prompt-api-for-gemini-nano enabled.

Notes

  • These are research/demo components, not production services
  • chrome-bridge requires Chrome Canary with the Gemini Nano flag enabled
  • python-mediapipe requires the MediaPipe Tasks GenAI package
  • No shared config — each component is self-contained

GSD Workflow

Use /gsd:quick for experimental work here. No formal phase planning required for this research area.