自然语言处理 NLP-文本翻译:请求示例

时间：2025-02-12 14:53:01

自然语言处理 NLP

请求示例

请求示例（文本翻译）

POST https://{endpoint}/v1/{project_id}/machine-translation/text-translationRequest Header:      Content-Type:application/json    X-Auth-Token: MIINRwYJKoZIhvcNAQcCoIINODCCDTQCAQExDTALBglghkgBZQMEAgEwgguVBgkqhkiG...   Request Body:    {        "text": "欢迎使用 机器翻译 服务",        "from": "zh",        "to": "en",        "scene":"common"    }

Python3语言请求代码示例（翻译中文"欢迎使用机器翻译服务"为英文）

# -*- coding: utf-8 -*-# 此demo仅供测试使用，建议使用sdk。需提前安装requests，执行pip install requestsimport requestsimport jsondef nlp_demo():    url = 'https://{endpoint}/v1/{project_id}/machine-translation/text-translation'  # endpoint和project_id需替换    token = '用户对应region的token'    header = {        'Content-Type': 'application/json',        'X-Auth-Token': token    }    body = {        'text': '欢迎使用机器翻译服务',        'from': 'zh',        'to': 'en',        'scene': 'common'    }    resp = requests.post(url, data=json.dumps(body), headers=header)    print(resp.json())if __name__ == '__main__':    nlp_demo()

Java语言请求代码示例（翻译英文"It is a good day"为中文）

import java.io.BufferedReader;import java.io.InputStream;import java.io.InputStreamReader;import java.io.OutputStreamWriter;import java.net.HttpURLConnection;import java.net.URL;/** * 此demo仅供测试使用，建议使用sdk */public class NLPDemo {    public void nlpDemo() {        try {            //endpoint和projectId需要替换成实际信息。            URL url = new URL("https://{endpoint}/v1/{project_id}/machine-translation/text-translation");            String token = "对应region的token";            HttpURLConnection connection = (HttpURLConnection) url.openConnection();            connection.setRequestMethod("POST");            connection.setDoInput(true);            connection.setDoOutput(true);            connection.addRequestProperty("Content-Type", "application/json");            connection.addRequestProperty("X-Auth-Token", token);            //输入参数            String text = "It is a good day";            String from = "en";            String to = "zh";            String body = "{\"text\":\"" + text + "\" ,\"from\":\"" + from + "\" ,\"to\":\"" + to + "\" ,\"scene\":\"common\"}";            OutputStreamWriter osw = new OutputStreamWriter(connection.getOutputStream(), "UTF-8");            osw.append(body);            osw.flush();            InputStream is = connection.getInputStream();            BufferedReader br = new BufferedReader(new InputStreamReader(is, "UTF-8"));            while (br.ready()) {                System.out.println(br.readLine());            }        } catch (Exception e) {            e.printStackTrace();        }    }    public static void main(String[] args) {        NLPDemo nlpDemo = new NLPDemo();        nlpDemo.nlpDemo();    }}

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