
In December 2025, Jae Hwan Han enhanced the antvis/GPT-Vis repository by implementing locale-aware loading messaging for the Loading component. Using React with JavaScript and TypeScript, he introduced a new 'loading' field to TextLabels and updated the Loading component to accept a text prop, enabling dynamic, translated loading indicators. He ensured that localized loading text is propagated from RenderVisChart, centralizing locale handling and improving international user experience. Han also addressed a bug where loading text did not follow locale settings, stabilizing behavior across languages. This work established a foundation for broader internationalization across UI components in the project.
December 2025 (antvis/GPT-Vis): Delivered locale-aware loading messaging across the Loading component, enabling dynamic, translated loading indicators and improving international user experience. Implemented a new 'loading' field on TextLabels and updated the Loading component to accept a text prop, with localized strings tied to zh-CN, en-US, and pt-BR. Ensured the localized loading text is passed from RenderVisChart to Loading, centralizing locale handling and enabling easier internationalization workflows. Fixed a bug where loading text did not follow locale settings, stabilizing user experience across languages. This work strengthens global readiness and lays groundwork for expanding i18n across UI components.
December 2025 (antvis/GPT-Vis): Delivered locale-aware loading messaging across the Loading component, enabling dynamic, translated loading indicators and improving international user experience. Implemented a new 'loading' field on TextLabels and updated the Loading component to accept a text prop, with localized strings tied to zh-CN, en-US, and pt-BR. Ensured the localized loading text is passed from RenderVisChart to Loading, centralizing locale handling and enabling easier internationalization workflows. Fixed a bug where loading text did not follow locale settings, stabilizing user experience across languages. This work strengthens global readiness and lays groundwork for expanding i18n across UI components.

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