Golang开发中的百度AI接口应用实例解析
一、 介绍
随着人工智能的迅速发展，各大互联网公司都推出了自己的人工智能平台，并提供了相应的API接口供开发者使用。其中，百度AI开放平台是目前较为知名且功能丰富的人工智能平台之一。本文将以Golang作为开发语言，通过百度AI接口来实现情感分析、语音识别和图像识别功能，并附上相关的代码示例。
二、百度AI接口简介
三、代码示例
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))
}
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
}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
}四、总结
通过以上示例代码，我们可以使用Golang来调用百度AI接口实现情感分析、语音识别和图像识别的功能。开发者可以根据自己的实际需求来选择相应的API接口，并将其集成到自己的应用中，从而为用户提供更加智能化和个性化的服务。希望本文对您在Golang开发中使用百度AI接口有所帮助。
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