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🚀 A fully custom Transformer-based model built in PyTorch to convert C++ code into human-readable pseudocode. Trained on Stanford’s SPoC dataset, it features a clean Gradio UI and zero pre-trained dependencies — pure sequence-to-sequence intelligence. 🧠
🚀 A fully custom Transformer built from scratch in PyTorch that converts human-written pseudocode into real C++ code. Trained on Stanford’s SPoC dataset and deployed on Hugging Face Spaces with an interactive Gradio app for instant code generation.