Context: Ethereum smart contracts are self-executing programs that enable trustless transactions between parties, with applications in digital document management, secure storage and transfer of cryptocurrencies, and non-fungible token (NFT) management. Ensuring the security and robustness of these smart contracts is crucial to avoid significant financial and privacy losses due to bugs or honeypots.Objectives: This work aims to develop a novel approach for automatically repairing Solidity smart contracts and demonstrate the feasibility of detecting and fixing vulnerabilities using a state-of-the-art language model.Methods: We utilize ChatGPT, a large-scale language model, to automatically repair Solidity smart contracts by training it through prompt engineering techniques, tailoring its capabilities to detect and fix vulnerabilities in the code.Results: Our ChatGPT-based approach successfully repairs vulnerable Solidity smart contracts, showcasing its potential as a valuable tool for improving the security and robustness of these programs in various use cases, ultimately reducing the risks associated with bugs and honeypots.Conclusions: ChatGPT is best utilized as an APR tool when combined with vulnerability detection tools. It requires a comprehensive understanding of the program and thorough examination by various vulnerability detection tools to ensure robust coverage.