LGram16
82cf4b8fd0
Backend changes (C#): - Add SelectRecipe method to MachineBridge for recipe selection - Add currentRecipeId tracking in MainForm - Implement SELECT_RECIPE handler in WebSocketServer Frontend changes (React/TypeScript): - Add selectRecipe method to communication layer - Update handleSelectRecipe to call backend and handle response - Recipe selection updates ModelInfoPanel automatically - Add error handling and logging for recipe operations Layout improvements: - Add Layout component with persistent Header and Footer - Create separate IOMonitorPage for full-screen I/O monitoring - Add dynamic IO tab switcher in Header (Inputs/Outputs) - Ensure consistent UI across all pages 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
Run and deploy your AI Studio app
This contains everything you need to run your app locally.
View your app in AI Studio: https://ai.studio/apps/drive/1WUaQ4phJ_kZujzyiakV5X8RFgCwgaUDq
Run Locally
Prerequisites: Node.js
- Install dependencies:
npm install - Set the
GEMINI_API_KEYin .env.local to your Gemini API key - Run the app:
npm run dev