PrintNow/langdetect-api

langdetect | 语言检测 API

基于 https://github.com/Mimino666/langdetect 制作，打包成了 Docker 镜像，便于线上使用

使用方法

• 可以自己构建镜像，本项目已经包含 Dockerfile
• 使用已经构建好的 Docker 镜像: https://hub.docker.com/r/shine09/langdetect-api

使用方法：

docker run -d \
    --name langdect-api \
    -p 8899:8899/tcp \
    --restart always \
    shine09/langdetect-api

自定义端口号、进程数量：

• -e NUM_PROCESSES=200 表示运行 200 个进程，默认 4 个进程
• -e LISTEN_PORT=8866 表示监听 8866 端口，默认监听 8899 端口

docker run -d \
    --name langdect-api \
    -e NUM_PROCESSES=200 \
    -e LISTEN_PORT=8866 \
    -p 8866:8866/tcp \
    --restart always \
    shine09/langdetect-api

API

POST http://127.0.0.1:8899

body:

[
  "你好，世界",
  "Returns the best results.",
  "You can specify the number of records to return. For example the following code will return the top three entries.",
  "Returns the result as an array."
]

result:

{
  "code": 200,
  "msg": "ok",
  "data": [
    {
      "text": "你好，世界",
      "language": "zh-cn"
    },
    {
      "text": "Returns the best results.",
      "language": "en"
    },
    {
      "text": "You can specify the number of records to return. For example the following code will return the top three entries.",
      "language": "en"
    },
    {
      "text": "Returns the result as an array.",
      "language": "en"
    }
  ]
}

---

cURL 命令运行:

   curl --location --request POST 'http://127.0.0.1:8899' \
       --header 'Content-Type: application/json' \
       --data-raw '[
           "你好，世界",
           "Returns the best results.",
           "You can specify the number of records to return. For example the following code will return the top three entries.",
           "Returns the result as an array."
       ]'

缺点

识别会不太准确