Analysis of Baidu AI interface application examples in Golang development-Golang-php.cn

Analysis of Baidu AI interface application examples in Golang development

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Release： 2023-08-15 10:53:14

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Analysis of Baidu AI interface application examples in Golang development

1. Introduction

With the rapid development of artificial intelligence, major Internet companies are Launched its own artificial intelligence platform and provided corresponding API interfaces for developers to use. Among them, Baidu AI Open Platform is currently one of the more well-known and feature-rich artificial intelligence platforms. This article will use Golang as the development language to implement sentiment analysis, speech recognition and image recognition functions through Baidu AI interface, and attach relevant code examples.

2. Introduction to Baidu AI Interface

Emotional Analysis Interface
The emotional analysis interface can analyze the emotional tendencies contained in a piece of text, including positive, negative and neutral. Developers can use the sentiment analysis interface to determine the user's emotional tendency towards a piece of text, thereby providing users with more personalized services.
Speech recognition interface
The speech recognition interface can convert speech into corresponding text, including speech to text and real-time speech recognition. Developers can use the speech recognition interface to implement speech input and recognition functions.
Image recognition interface
The image recognition interface can analyze and identify images, including image text recognition, image scene recognition and image subject recognition. Developers can implement image parsing and automatic labeling functions through the image recognition interface.

3. Code Example

Sentiment Analysis Interface Code Example

package main

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

func main() {
    text := "我今天心情不错"
    accessKey := "your_access_key"
    secretKey := "your_secrect_key"

    url := "https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=" + accessKey + "&client_secret=" + secretKey

    resp, err := http.Get(url)
    if err != nil {
        fmt.Println("Request failed: ", err)
        return
    }
    defer resp.Body.Close()

    body, _ := ioutil.ReadAll(resp.Body)
    bodyStr := string(body)

    rtoken := strings.Split(bodyStr, """)[3]

    analysisURL := "https://aip.baidubce.com/rpc/2.0/nlp/v1/sentiment_classify?charset=UTF-8&access_token=" + rtoken

    postData := "{"text":"" + text + ""}"
    resp, err = http.Post(analysisURL, "application/json", strings.NewReader(postData))
    if err != nil {
        fmt.Println("Request failed: ", err)
        return
    }
    defer resp.Body.Close()

    body, _ = ioutil.ReadAll(resp.Body)
    fmt.Println("Response:
", string(body))
}

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Speech Recognition Interface Code Example

package main

import (
    "bytes"
    "fmt"
    "io"
    "io/ioutil"
    "mime/multipart"
    "net/http"
    "os"
)

func main() {
    accessKey := "your_access_key"
    secretKey := "your_secret_key"

    token := getToken(accessKey, secretKey)

    speechFile := "speech.wav"
    result := speechRecognition(token, speechFile)
    fmt.Println("Recognition result:", result)
}

func getToken(accessKey, secretKey string) string {
    url := "https://openapi.baidu.com/oauth/2.0/token?grant_type=client_credentials&client_id=" + accessKey + "&client_secret=" + secretKey

    resp, err := http.Get(url)
    if err != nil {
        fmt.Println("Request failed: ", err)
        return ""
    }
    defer resp.Body.Close()
    body, _ := ioutil.ReadAll(resp.Body)

    token := string(body)
    return token
}

func speechRecognition(token, speechFile string) string {
    url := "http://vop.baidu.com/server_api"
    bodyBuf := &bytes.Buffer{}
    bodyWriter := multipart.NewWriter(bodyBuf)

    fileWriter, err := bodyWriter.CreateFormFile("file", speechFile)
    if err != nil {
        fmt.Println("Create form file failed: ", err)
        return ""
    }

    fh, err := os.Open(speechFile)
    if err != nil {
        fmt.Println("Open failed: ", err)
        return ""
    }
    defer fh.Close()

    _, err = io.Copy(fileWriter, fh)
    if err != nil {
        fmt.Println("Copy file failed: ", err)
        return ""
    }

    contentType := bodyWriter.FormDataContentType()
    bodyWriter.Close()

    resp, err := http.Post(url+"?cuid=your_cuid&token="+token+"&dev_pid=1737", contentType, bodyBuf)
    if err != nil {
        fmt.Println("Request failed: ", err)
        return ""
    }

    defer resp.Body.Close()
    body, _ := ioutil.ReadAll(resp.Body)
    result := string(body)
    return result
}

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Image recognition interface code example

package main

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

func main() {
    accessKey := "your_access_key"

    token := getToken(accessKey)

    imageFile := "image.jpg"
    result := imageRecognition(token, imageFile)
    fmt.Println("Recognition result:", result)
}

func getToken(accessKey string) string {
    url := "https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=" + accessKey

    resp, err := http.Get(url)
    if err != nil {
        fmt.Println("Request failed: ", err)
        return ""
    }
    defer resp.Body.Close()
    body, _ := ioutil.ReadAll(resp.Body)

    token := strings.Split(string(body), """)[3]
    return token
}

func imageRecognition(token, imageFile string) string {
    url := "https://aip.baidubce.com/rest/2.0/image-classify/v2/advanced_general?access_token=" + token

    resp, err := http.Post(url, "application/x-www-form-urlencoded", strings.NewReader("image=./"+imageFile))
    if err != nil {
        fmt.Println("Request failed: ", err)
        return ""
    }

    defer resp.Body.Close()
    body, _ := ioutil.ReadAll(resp.Body)
    result := string(body)
    return result
}

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IV. Summary

Through the above example code, we can use Golang to call Baidu AI interface to implement sentiment analysis, Speech recognition and image recognition functions. Developers can choose the corresponding API interface according to their actual needs and integrate it into their own applications to provide users with more intelligent and personalized services. I hope this article will help you use Baidu AI interface in Golang development.

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