---
description: Guidelines for integrating machine learning models with a Tauri frontend via a backend like Flask
globs: frontend/**/*.rs
---
- Implement a clean API for the ML models to be consumed by the Flask backend.
- Ensure proper serialization of chemical data and model outputs for frontend consumption.
- Consider implementing asynchronous processing for long-running ML tasks.