Baidu AI Interface Guide: A must-read practical manual for Golang developers

Baidu AI Interface Guide: A must-read practical manual for Golang developers

Abstract: With the continuous development of artificial intelligence technology, Baidu AI interface has become a must-read for many developers the focus of attention. This article will introduce how to use Baidu AI interface for development in the Golang environment, and provide practical code examples to help developers quickly get started and implement various functions.

1. Preparation work

Before we start, we first need to do some preparation work.

Installing Golang

First, make sure you have installed the Golang development environment. You can go to the Golang official website (https://golang.org/) to download and install the latest version of Golang.

Register a Baidu developer account

Before using the Baidu AI interface, you need to register a Baidu developer account and create an application. During the process of creating an application, you will obtain an API Key and Secret Key. This information will be used in the code below.

Install related libraries

Golang has rich third-party library support, and we can use them to easily use Baidu AI interface. The following are some commonly used libraries, which can be installed using the go get command:

go get -u github.com/astaxie/beego
go get -u github.com/stretchr/testify
go get -u github.com/parnurzeal/gorequest

2. Text Recognition API

The Text Recognition API provides recognition of text in pictures Function for editable text. The following is an example of using this API:

package main

import (
    "fmt"
    "github.com/parnurzeal/gorequest"
)

func main() {
    url := "https://aip.baidubce.com/rest/2.0/ocr/v1/general_basic"
    apiKey := "your_api_key"
    secretKey := "your_secret_key"

    imageFile := "path/to/your/image.jpg"

    request := gorequest.New()
    _, body, _ := request.Post(url).
        Query("access_token", getAccessToken(apiKey, secretKey)).
        Type("multipart").
        SendFile(imageFile, imageFile).
        End()

    fmt.Println(body)
}

func getAccessToken(apiKey, secretKey string) string {
    url := "https://aip.baidubce.com/oauth/2.0/token"
    request := gorequest.New()
    _, body, _ := request.Get(url).
        Query("grant_type=client_credentials").
        Query("client_id=" + apiKey).
        Query("client_secret=" + secretKey).
        End()
    return parseAccessToken(body)
}

func parseAccessToken(response string) string {
    // 解析返回的 JSON 数据，获取 access_token
    // 省略解析代码
    // ...
}

In the above example, we sent a POST request through the gorequest library, and added the API Key and Secret Key as well as the query parameters. Recognized image files. Use the getAccessToken function to obtain the access token, allowing us to access the Baidu AI interface.

3. Face recognition API

The face recognition API can be used to identify face information in pictures, and provides various functions, such as face detection, face comparison, etc. The following is an example of using this API:

package main

import (
    "fmt"
    "github.com/parnurzeal/gorequest"
)

func main() {
    url := "https://aip.baidubce.com/rest/2.0/face/v3/detect"
    apiKey := "your_api_key"
    secretKey := "your_secret_key"

    imageFile := "path/to/your/image.jpg"

    request := gorequest.New()
    _, body, _ := request.Post(url).
        Query("access_token", getAccessToken(apiKey, secretKey)).
        Type("multipart").
        SendFile(imageFile, imageFile).
        End()

    fmt.Println(body)
}

func getAccessToken(apiKey, secretKey string) string {
    url := "https://aip.baidubce.com/oauth/2.0/token"
    request := gorequest.New()
    _, body, _ := request.Get(url).
        Query("grant_type=client_credentials").
        Query("client_id=" + apiKey).
        Query("client_secret=" + secretKey).
        End()
    return parseAccessToken(body)
}

func parseAccessToken(response string) string {
    // 解析返回的 JSON 数据，获取 access_token
    // 省略解析代码
    // ...
}

In the above example, we also used the gorequest library to send a POST request and added the API Key and Secret Key to the query parameters. and the image files to be identified. Then we can obtain face-related information by parsing the returned results.

4. Speech synthesis API

The speech synthesis API can be used to convert text into speech, and provides various functions, such as selecting a voice character, controlling the speaking speed, etc. The following is an example of using this API:

package main

import (
    "fmt"
    "github.com/parnurzeal/gorequest"
    "io/ioutil"
    "os"
)

func main() {
    url := "https://aip.baidubce.com/rpc/2.0/tts/v1/synthesis"
    apiKey := "your_api_key"
    secretKey := "your_secret_key"

    text := "欢迎使用百度语音合成API"

    requestBody := fmt.Sprintf(`{"tex":"%s","lan":"zh","cuid":"%s"}`, text, "your_unique_id")

    request := gorequest.New()
    _, body, _ := request.Post(url).
        Query("access_token", getAccessToken(apiKey, secretKey)).
        Send(requestBody).
        End()

    saveAudio(body, "output.mp3")
    fmt.Println("合成完成！")
}

func getAccessToken(apiKey, secretKey string) string {
    url := "https://aip.baidubce.com/oauth/2.0/token"
    request := gorequest.New()
    _, body, _ := request.Get(url).
        Query("grant_type=client_credentials").
        Query("client_id=" + apiKey).
        Query("client_secret=" + secretKey).
        End()
    return parseAccessToken(body)
}

func parseAccessToken(response string) string {
    // 解析返回的 JSON 数据，获取 access_token
    // 省略解析代码
    // ...
}

func saveAudio(data string, fileName string) {
    err := ioutil.WriteFile(fileName, []byte(data), os.ModePerm)
    if err != nil {
        fmt.Println("保存文件失败：", err)
        return
    }
    fmt.Println("文件保存成功：", fileName)
}

In the above example, we used the gorequest library to send a POST request and added the API Key and Secret Key to the query parameters. We set the tex field of the request body to the text to be synthesized, and specified the language as Chinese. The synthesized speech is then saved as an MP3 file by parsing the returned results.

5. Summary

This article introduces how to use Baidu AI interface for development in Golang environment, and provides sample code for three APIs: text recognition, face recognition and speech synthesis. By reading this article, I believe you can quickly get started using Baidu AI interface and implement various interesting and practical functions in your applications. I hope this article is helpful to you, and I wish you better results in Golang development!

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