This article provides steps to implement the Azure translation in the SharePoint Framework (SPFx) web part, generally, Azure translate is translating text in real-time across more than 60 languages, powered by the latest innovations in machine translation. Support a wide range of use cases, such as translation for call centers, multilingual conversational agents, or in-app communication.
You can create a free trial to access this Azure Cognitive Services, click this link to navigate and check more details about this translate service
Create a new web part project
Open power shell and run following comment to create a new web part by running the Yeoman SharePoint Generator
yo @microsoft/sharepointWhen prompted:
Enter the webpart name as your solution name, and then select Enter.
Select Create a subfolder with solution name for where to place the files.
Select Y to allow the solution to be deployed to all sites immediately.
Select N on the question if solution contains unique permissions.
Select WebPart as the client-side component type to be created.
The next set of prompts ask for specific information about your web part:
Enter your web part name, and then select Enter.
Enter your web part description, and then select Enter.
Select React framework as the framework you would like to use, and then select Enter.
Start Visual Studio Code (or your favorite code editor) within the context of the newly created project folder.
cd .\web part name\
code .Install the library and required dependencies
npm install jqueryUpdate the react component
Import the npm translate module in the src\webparts\spfxAzureTranslator\components\SpfxAzureTranslator.tsx also, you have to get the Azure API secret key from Azure to use this service.
import * as React from 'react';
import styles from './SpfxAzureTranslator.module.scss';
import { ISpfxAzureTranslatorProps } from './ISpfxAzureTranslatorProps';
import { ISpfxAzureTranslatorState } from './ISpfxAzureTranslatorState';
import { Stack, IStackProps, IStackStyles } from 'office-ui-fabric-react/lib/Stack';
import { TextField } from 'office-ui-fabric-react/lib/TextField';
import { IDropdownOption, Dropdown } from 'office-ui-fabric-react';
import $ from "jquery";
const stackStyles: Partial<IStackStyles> = { root: { width: 650 } };
const stackTokens = { childrenGap: 50 };
const columnProps: Partial<IStackProps> = {
tokens: { childrenGap: 15 },
styles: { root: { width: 300 } },
};
const smallcolumnProps: Partial<IStackProps> = {
tokens: { childrenGap: 15 },
styles: { root: { width: 180 } },
};
export default class SpfxAzureTranslator extends React.Component<ISpfxAzureTranslatorProps, ISpfxAzureTranslatorState> {
constructor(props: ISpfxAzureTranslatorProps, state: ISpfxAzureTranslatorState) {
super(props);
this.state = ({ toLanguage: '', content: '', userinput: '', langarr: [] })
this._getSupportedLangualge();
}
private async _getSupportedLangualge() {
$.get({
url: 'https://api.cognitive.microsofttranslator.com/languages?api-version=3.0&scope=translation'
})
.done((languages: any): void => {
let droparr: IDropdownOption[] = []
let langobjs = languages.translation;
for (var key in langobjs) {
if (langobjs.hasOwnProperty(key)) {
droparr.push({ key: key, text: langobjs[key].name })
}
}
this.setState({ langarr: droparr })
}).fail(function (res) {
console.log(res);
});
}
private async _translate() {
$.post({
url: 'https://ravichandran.cognitiveservices.azure.com/sts/v1.0/issueToken',
headers: {
'Ocp-Apim-Subscription-Key': '03e88fd1d1cc403654861c891001e457',
'Authorization': 'ravichandran.cognitiveservices.azure.com'
}
})
.done((tocken: any): void => {
$.post({
url: 'https://api.cognitive.microsofttranslator.com/translate?api-version=3.0&to=' + this.state.toLanguage,
headers: {
'Ocp-Apim-Subscription-Key': '03e88fd1d1cc403654861c891001e457',
'Authorization': 'Bearer ' + tocken,
'Content-Type': 'application/json'
},
data: JSON.stringify([{ "Text": this.state.userinput }])
})
.done((result: any): void => {
console.log(result);
this.setState({ content: result[0].translations[0].text })
}).fail(function (res) {
console.log(res);
});
}).fail(function (res) {
console.log(res);
});
}
public render(): React.ReactElement<ISpfxAzureTranslatorProps> {
return (
<div className={styles.spfxAzureTranslator}>
<Stack horizontal tokens={stackTokens} styles={stackStyles}>
<Stack {...columnProps}>
<TextField label="Any language (auto deducted)" multiline autoAdjustHeight onChanged={(newtext) => { this.setState({ userinput: newtext }); this._translate() }} />
</Stack>
<Stack {...smallcolumnProps}>
<Dropdown
placeholder="Select a language"
label="Select Language"
options={this.state.langarr}
onChanged={(value) => { this.setState({ toLanguage: value.key.toString() }); this._translate() }}
/>
</Stack>
<Stack {...columnProps}>
<label>{this.state.content}</label>
</Stack>
</Stack>
</div>
);
}
}
Deploy the solution
You’re now ready to build, bundle, package, and deploy the solution.
Run the gulp commands to verify that the solution builds correctly.
gulp buildUse the following command to bundle and package the solution.
gulp bundle --ship
gulp package-solution --shipBrowse to the app catalog of your target tenant and upload the solution package. You can find the solution package under the sharepoint/solution folder of your solution. It is the .sppkg file. After you upload the solution package in the app catalog. you can find and the web part anywhere across the tenant.
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If you have any questions, feel free to let me know in the comments section.
Happy coding!!!
Ravichandran Blog 
How we can achieve Azure api translation using Spfx Extender
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Hi Selva,
We can use this API in the SPFx extension as well, ultimately we just replacing the text content with API output.
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