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javlonbek1233/greenroom

★ 37TypeScriptAudience · vibe coderComplexity · 1/5Setup · easy

TLDR

A Google AI Studio export named GreenRoom, packaged for local Node.js use and wired to call the Gemini API via a key in .env.local.

Mindmap

mindmap
  root((GreenRoom))
    Inputs
      Gemini API key
      npm dependencies
    Outputs
      Local dev server
      AI Studio web app
    Use Cases
      AI Studio export
      Practice AI app
      Local Gemini demo
    Tech Stack
      TypeScript
      Node.js
      Gemini API
      Vite
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Things people build with this

USE CASE 1

Run the GreenRoom AI Studio export locally to see what the generated app does

USE CASE 2

Use as a starter for a Gemini-backed TypeScript prototype

USE CASE 3

Practice wiring a Gemini API key into a Vite-based front end

Tech stack

TypeScriptNode.jsGemini APIVite

Getting it running

Difficulty · easy Time to first run · 5min

Needs a Gemini API key in .env.local before npm run dev will work.

In plain English

This repository, called GreenRoom, holds the source code for an application that was generated through Google AI Studio. AI Studio is Google's tool for assembling small AI-powered web apps without writing all the boilerplate by hand. The README links to a hosted version of this same app on ai.studio under a unique app ID, so the GitHub repo is effectively a local copy of the AI Studio build. The description in the repo just says GreenRoom, and there is no longer write-up explaining what the app actually does, who it is for, or what it produces. There are no features listed, no screenshots, and no example interactions. The name GreenRoom is suggestive (it can refer to a waiting room for performers, or a green-screen video stage), but the README does not say which meaning applies. To know the purpose, a visitor would need to open the AI Studio link or read the source code. To run the app on your own machine, you need Node.js installed. The README lists three short steps. First, install dependencies with npm install. Second, put your Gemini API key into a file called .env.local under the name GEMINI_API_KEY. Third, start the app in development mode with npm run dev. The Gemini key is what connects the running app to Google's Gemini AI model, so without it the AI functionality will not work. The primary language is TypeScript, the default output of AI Studio. There is no license note, contribution guide, or roadmap in the README. The repo sits at 37 stars.

Copy-paste prompts

Prompt 1
Read the source of GreenRoom and tell me whether it is a waiting-room app, a green-screen tool, or something else.
Prompt 2
Help me strip out the Gemini calls in GreenRoom and replace them with a local mock for offline development.
Prompt 3
Show me how to deploy GreenRoom to Cloudflare Pages with GEMINI_API_KEY stored as a secret.
Prompt 4
Refactor GreenRoom to add a settings panel that lets the user pick between Gemini Pro and Gemini Flash.
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