WebPAI/Interaction2Code
[ASE 2025] Benchmarking MLLM-based Interactive Webpage Code Generation from Interactive Prototyping
This project helps evaluate how well Multimodal Large Language Models (MLLMs) can generate the code for interactive web pages. It takes in UI mock-ups and descriptions of user interactions, and outputs code for dynamic web pages. This benchmark is for researchers and developers working on AI models for web development, specifically those focused on design-to-code solutions.
Use this if you are a researcher or AI developer working on improving MLLM performance for generating interactive web page code from designs.
Not ideal if you are looking for a tool to directly generate web pages for your business or personal use without deep technical understanding of MLLMs.
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Language
Python
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Last pushed
Feb 15, 2026
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