Analysis of Baidu AI interface application cases developed in Golang

Analysis of Baidu AI interface application case developed in Golang

Introduction:
Artificial Intelligence (AI) is one of the hot topics in the current technology field , not only used in academic research, but also received widespread attention and application in industry. In the development of artificial intelligence applications, Baidu AI interface is a highly respected tool. This article will introduce how to use Golang to develop and apply Baidu AI interface, and analyze the case in the form of code examples.

1. Background introduction
Baidu AI Developer Platform is a cloud service platform that provides various artificial intelligence capabilities. Among them, interfaces such as text recognition, speech recognition, face recognition, and natural language processing are the most commonly used functions. As a simple and efficient programming language, Golang can easily call and use Baidu AI interface.

2. Environment preparation
Before starting Golang development, we need to prepare some necessary environments and tools:

1. Install Golang development environment;
2. Create an account on Baidu AI Developer Platform and obtain the corresponding Appi Key and Secret Key.

3. Text recognition interface example
The text recognition interface can upload a picture and then return the text content in the picture. The following example shows how to use Golang to call Baidu AI interface for text recognition:

package main

import (
    "fmt"
    "io/ioutil"
    "net/http"
    "net/url"
    "strings"
)

func main() {
    // 设置接口地址和API Key、Secret Key
    url := "https://aip.baidubce.com/rest/2.0/ocr/v1/general_basic?access_token=YOUR_ACCESS_TOKEN"
    apiKey := "YOUR_API_KEY"
    secretKey := "YOUR_SECRET_KEY"

    // 读取图片文件
    filePath := "test.jpg"
    file, _ := ioutil.ReadFile(filePath)

    // 设置请求参数
    values := url.Values{
        "image":      {string(file)},
        "language_type": {"CHN_ENG"},
    }

    // 发送POST请求
    req, _ := http.NewRequest("POST", url, strings.NewReader(values.Encode()))
    req.Header.Add("Content-Type", "application/x-www-form-urlencoded")
    client := &http.Client{}
    resp, _ := client.Do(req)
    defer resp.Body.Close()

    // 读取并输出请求结果
    body, _ := ioutil.ReadAll(resp.Body)
    fmt.Println(string(body))
}

In the above example, we implement the call of Baidu AI text recognition interface by setting the api address, api key and secret key. Then we obtain the text recognition results by reading the image file, setting the request parameters and sending a POST request.

4. Speech recognition interface example
The speech recognition interface can convert speech into text. The following example shows how to use Golang to call Baidu AI interface for speech recognition:

package main

import (
    "fmt"
    "io/ioutil"
    "net/http"
    "strings"
    "time"
)

func main() {
    // 设置接口地址和API Key、Secret Key
    url := "https://vop.baidu.com/server/api?cuid=YOUR_CUID&token=YOUR_ACCESS_TOKEN"
    apiKey := "YOUR_API_KEY"
    secretKey := "YOUR_SECRET_KEY"

    // 读取语音文件
    filePath := "test.wav"
    file, _ := ioutil.ReadFile(filePath)

    // 获取access token
    tokenUrl := "https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=" + apiKey + "&client_secret=" + secretKey
    resp, _ := http.Get(tokenUrl)
    defer resp.Body.Close()

    body, _ := ioutil.ReadAll(resp.Body)
    accessToken := strings.Split(string(body), """)[3]

    // 设置请求参数
    values := url.Values{
        "format":       {"wav"},
        "rate":         {"16000"},
        "channel":      {"1"},
        "cuid":         {"YOUR_CUID"},
        "token":        {accessToken},
        "len":          {fmt.Sprintf("%d", len(file))},
        "speech":       {string(file)},
    }

    // 发送POST请求
    req, _ := http.NewRequest("POST", url, strings.NewReader(values.Encode()))
    req.Header.Add("Content-Type", "application/x-www-form-urlencoded")
    client := &http.Client{Timeout: time.Second * 10}
    resp, _ := client.Do(req)
    defer resp.Body.Close()

    // 读取并输出请求结果
    body, _ := ioutil.ReadAll(resp.Body)
    fmt.Println(string(body))
}

In the above example, we implement the call of Baidu AI speech recognition interface by setting the api address, api key and secret key. We set the request parameters by reading the voice file and obtaining the access token, and obtain the results of the speech recognition by sending a POST request.

5. Summary
Through the case analysis of this article, we introduced how to use Golang to develop and apply Baidu AI interface. Among them, text recognition and speech recognition interfaces are just the tip of the iceberg of Baidu AI interfaces. Baidu AI developer platform also provides many other powerful interfaces, such as face recognition, image recognition, natural language processing, etc. I hope this article can provide some help and inspiration for readers to apply Baidu AI interface in Golang development.

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