Golang development tips: Using Baidu AI interface to implement text review

Golang development skills: Using Baidu AI interface to implement text review

In today's Internet era, the review of text content has become crucial. In order to keep the online environment healthy and orderly, enterprises and developers generally face huge challenges. However, the development of automated text review technology has provided great help in solving this problem. This article will introduce how to use the Golang programming language and Baidu AI interface to implement the text review function.

First, we need to prepare a Baidu Cloud account and create an application in the Baidu Cloud console. After successfully creating the application, we can obtain a pair of AppKey and AppSecret, which will be used in subsequent interface requests.

Next, we need to introduce Golang’s HTTP request library in order to send HTTP requests and process responses. We can use the third-party library "requests" and run the following command in the terminal to install the library:

go get github.com/levigross/grequests

After the installation is complete, import grequests in the code:

import (
    "github.com/levigross/grequests"
)

Next, we need to write a Function to call Baidu AI interface and implement text review function. Let's take the "text anti-spam" interface as an example. This interface can perform anti-spam processing on text based on the specified text content, and the result returned is whether the text is compliant and the type of violation. The code is as follows:

func TextCensor(text string) (bool, error) {
    url := "https://aip.baidubce.com/rest/2.0/solution/v1/text_censor/user_defined?access_token=<YOUR_ACCESS_TOKEN>"
    payload := map[string]interface{}{
        "tasks": []map[string]string{
            {
                "content": text,
            },
        },
    }
    headers := map[string]string{
        "Content-Type": "application/json;charset=UTF-8",
    }
    resp, err := grequests.Post(url, &grequests.RequestOptions{
        Headers: headers,
        JSON:    payload,
    })

    if err != nil {
        return false, err
    }

    if !resp.Ok {
        return false, fmt.Errorf("Request failed with status code: %d", resp.StatusCode)
    }

    type Response struct {
        Result []struct {
            Conclusion string `json:"conclusion"`
        } `json:"result"`
    }
    var data Response
    err = resp.JSON(&data)

    if err != nil {
        return false, err
    }

    if len(data.Result) == 0 {
        return false, errors.New("Empty response")
    }

    if data.Result[0].Conclusion != "合规" {
        return false, nil
    }

    return true, nil
}

In the above code, we first need to replace <YOUR_ACCESS_TOKEN> in the URL with our own Baidu Cloud access key. Next, we define a payload that contains the text content to be reviewed. We use the grequests.Post method to send an HTTP POST request and parse the result into a structure.

Finally, we call the TextCensor function in the main function for text review:

func main() {
    text := "这是一段违规内容"
    result, err := TextCensor(text)
    if err != nil {
        log.Fatal(err)
    }
    if result {
        fmt.Println("文本合规")
    } else {
        fmt.Println("文本违规")
    }
}

The above example code implements the function of using Baidu AI interface for text review. By calling the TextCensor function, we can conduct compliance review on the specified text and obtain the review results. This is an important step for enterprises and developers to automate text content review.

Summary:

This article introduces how to use the Golang programming language and Baidu AI interface to implement the text review function. By using the text anti-spam interface provided by Baidu Cloud, we can easily implement text compliance review. This provides a more efficient and convenient solution for keeping the network environment healthy and orderly. I hope this article has provided some help for you to implement text auditing functions in Golang development.

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