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Golang technology practice road: Baidu AI interface makes your application more competitive

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2023-08-25 22:09:131108browse

Golang technology practice road: Baidu AI interface makes your application more competitive

Golang technology practice path: Baidu AI interface makes your application more competitive

Introduction:

With the continuous development of artificial intelligence technology With the development, its application in all walks of life is becoming more and more extensive. Whether in the fields of image recognition, speech synthesis, or natural language processing, artificial intelligence can provide effective solutions. To realize the application of artificial intelligence, an important link is to access the relevant AI interface. This article will take Baidu AI interface as an example to introduce how to use Golang language to call Baidu AI interface, and explain it with code examples.

  1. Register a Baidu AI developer account and create an application
    First of all, before using the Baidu AI interface, you need to register a Baidu AI developer account. After successful registration, log in to the console, enter the [My Application] page, and create a new application. When creating an application, you need to select the corresponding services and interfaces, and obtain the corresponding API Key and Secret Key. These keys will be used for subsequent API call authentication.
  2. Install relevant Golang packages
    Before you start using Golang to call Baidu AI interface, you need to install the corresponding Golang package. You can use the go get command to install, for example:
go get github.com/joho/godotenv
go get github.com/imroc/req

Among them, the godotenv package is used to load the environment variable file with ".env" as the suffix, reqPackage is used to send HTTP requests.

  1. Create environment variable configuration file
    Create a file named ".env" in the project root directory and fill in the following content:
APP_KEY=你的百度AI应用API Key
SECRET_KEY=你的百度AI应用Secret Key

Replace "Your Baidu AI Application API Key" and "Your Baidu AI Application Secret Key" in the file with your API Key and Secret Key.

  1. Writing Code Example
    Next, create a file named "baidu_ai.go" and fill it with the following code example:
package main

import (
    "fmt"
    "log"
    "os"

    "github.com/joho/godotenv"
    "github.com/imroc/req"
)

func main() {
    // 加载环境变量配置文件
    err := godotenv.Load()
    if err != nil {
        log.Fatal("Error loading .env file")
    }

    // 获取环境变量中的API Key和Secret Key
    appKey := os.Getenv("APP_KEY")
    secretKey := os.Getenv("SECRET_KEY")

    // 调用百度AI接口的示例:语音合成
    resp, err := req.Post("https://naviapi.baidu.com/v2/tts", req.Param{
        "tex":          "百度AI接口让你的应用更有竞争力",
        "lan":          "zh",
        "ctp":          "1",
        "cuid":         "baidu_ai_sample",
        "tok":          getToken(appKey, secretKey),
        "spd":          "5",
        "pit":          "5",
        "vol":          "9",
        "per":          "4",
        "fmt":          "wav",
    })
    if err != nil {
        log.Fatal(err)
    }

    // 获取返回结果
    bodyBytes, err := resp.ToBytes()
    if err != nil {
        log.Fatal(err)
    }

    // 输出结果
    fmt.Println("语音合成成功,结果保存在baidu_ai.wav文件中")
    err = os.WriteFile("baidu_ai.wav", bodyBytes, 0644)
    if err != nil {
        log.Fatal(err)
    }
}

// 获取百度AI接口调用凭证
func getToken(appKey string, secretKey string) string {
    resp, err := req.Get("https://naviapi.baidu.com/v2/token", req.QueryParam{
        "grant_type": "client_credentials",
        "client_id":  appKey,
        "client_secret": secretKey,
    })
    if err != nil {
        log.Fatal(err)
    }

    var tokenResp struct {
        AccessToken string `json:"access_token"`
    }
    err = resp.ToJSON(&tokenResp)
    if err != nil {
        log.Fatal(err)
    }

    return tokenResp.AccessToken
}
  1. Running the code
    Before saving and running the above code, use the command go mod init to initialize the project modularization.

Then run the code command:

go run baidu_ai.go

After successful operation, a file named "baidu_ai.wav" will be generated in the project directory, which is synthesized through the Baidu AI interface voice files.

Conclusion:

Through the above code examples, we can use Golang language to call Baidu AI interface and implement some common artificial intelligence functions. Of course, in addition to speech synthesis, Baidu AI also provides image recognition, natural language processing and other functions, which readers can call and implement accordingly according to their own needs. Through the use of Baidu AI interface, our applications will be able to be more competitive and provide users with a better experience. I hope this article can be helpful to readers, thank you for reading!

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