{"id":38153,"date":"2024-05-14T15:41:25","date_gmt":"2024-05-14T10:11:25","guid":{"rendered":"https:\/\/www.inogic.com\/blog\/?p=38153"},"modified":"2024-05-15T09:37:27","modified_gmt":"2024-05-15T04:07:27","slug":"simplify-multilingual-support-using-dataverse-and-ai-translate-in-canvas-apps","status":"publish","type":"post","link":"https:\/\/www.inogic.com\/blog\/2024\/05\/simplify-multilingual-support-using-dataverse-and-ai-translate-in-canvas-apps\/","title":{"rendered":"Simplify \u2018Multilingual Support\u2019 using Dataverse and AI-Translate in Canvas Apps"},"content":{"rendered":"

\"Multilingual<\/p>\n

As I work on an enterprise canvas app<\/a> designed for multiple geographies, translation becomes a crucial aspect due to its support for multiple languages. Initially, I followed the method outlined in Microsoft documentation to create translation components and translate label texts for each language, which turned out to be time-consuming. The method is described aptly in Microsoft Docs<\/a>.<\/p>\n

As the project expanded and more components got added, the need for a quicker translation method became apparent. Through research, I discovered that Microsoft introduced Dataverse functions, which streamline this process significantly. By leveraging AI-translate capabilities, I could achieve translations in a fraction of the time and with increased efficiency.<\/p>\n

Below, I have outlined how I have implemented this approach:<\/p>\n

1. Navigate to make.powerapps.com in your environment, create a solution, and then proceed to create a canvas app. Once the canvas app is created, click on it to open.<\/strong><\/p>\n

\"Multilingual<\/p>\n

2. Add data source as Environment (Microsoft Environment).<\/strong><\/p>\n

\"Multilingual<\/p>\n

3. Once it is added, the next step is to use AITranslate function.<\/strong><\/p>\n

Whenever a language is chosen from the dropdown menu, I update the content accordingly to the selected language.<\/p>\n

For that “OnSelect”<\/strong> of the LangaugeDropdown<\/strong>, I am using the below formula.<\/p>\n

\"Multilingual<\/p>\n

UpdateContext({ TranslatedText: Environment.AITranslate({Text: TextToTranslate<\/em>.Text, Language:LanguageDropdown<\/em>.Selected.Code}).TranslatedText });\r\n\r\nTextToTranslate<\/em>.Text=TranslatedText;\r\n\r\n<\/pre>\n
The AITranslate function has two parameters:<\/p>\n
    \n
  1. Text: The text to be translated<\/li>\n
  2. TargetLanguage: The target language code in which the text is to be translated.<\/li>\n<\/ol>\n
    \"Multilingual<\/p>\n
    For more information about languages supported for the source and target language, see Translator Language Support\u2014Translation<\/a><\/p>\n
    In the given scenario, I’ve chosen “French” from the language dropdown, resulting in the translation of content into French, as illustrated in the screenshot below.<\/p>\n
    Conclusion:<\/strong><\/h2>\n
    As the demand for multilingual support in enterprise canvas apps grows, the need for efficient translation methods becomes increasingly evident. While the traditional approach outlined in Microsoft documentation provides a solid foundation, it can be time-consuming, especially as projects scale.<\/p>\n
    Fortunately, with the introduction of Dataverse functions by Microsoft, the translation process has been streamlined significantly. Leveraging AI-translate capabilities has allowed for faster and more efficient translations, ensuring that the app remains accessible and user-friendly across various geographies and languages.<\/p>\n
    By adopting these innovative tools and methodologies, developers can save time and resources while delivering high-quality multilingual experiences to users worldwide. This not only enhances user satisfaction but also strengthens the app’s competitive edge in the global market.<\/p>\n
    \"Canvas<\/a><\/p>\n
    <\/pre>\n","protected":false},"excerpt":{"rendered":"
    As I work on an enterprise canvas app designed for multiple geographies, translation becomes a crucial aspect due to its support for multiple languages. Initially, I followed the method outlined in Microsoft documentation to create translation components and translate label texts for each language, which turned out to be time-consuming. The method is described aptly\u2026 Read More »<\/a><\/span><\/p>\n","protected":false},"author":11,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[1954,2354],"tags":[2880],"class_list":["post-38153","post","type-post","status-publish","format-standard","hentry","category-canvas-apps","category-dataverse","tag-aitranslate"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.inogic.com\/blog\/wp-json\/wp\/v2\/posts\/38153","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inogic.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inogic.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inogic.com\/blog\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inogic.com\/blog\/wp-json\/wp\/v2\/comments?post=38153"}],"version-history":[{"count":0,"href":"https:\/\/www.inogic.com\/blog\/wp-json\/wp\/v2\/posts\/38153\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inogic.com\/blog\/wp-json\/wp\/v2\/media?parent=38153"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inogic.com\/blog\/wp-json\/wp\/v2\/categories?post=38153"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inogic.com\/blog\/wp-json\/wp\/v2\/tags?post=38153"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}