Golang開發中的百度AI介面應用實例解析
一、介紹
隨著人工智慧的快速發展，各大網路公司都推出了自己的人工智慧平台，並提供了對應的API介面供開發者使用。其中，百度AI開放平台是目前較知名且功能豐富的人工智慧平台之一。本文將以Golang作為開發語言，透過百度AI介面來實現情緒分析、語音辨識和影像辨識功能，並附上相關的程式碼範例。
二、百度AI介面簡介
三、程式碼範例
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、總結
透過上述範例程式碼，我們可以使用Golang來呼叫百度AI介面實現情緒分析、語音辨識和影像辨識的功能。開發者可以根據自己的實際需求來選擇相應的API接口，並將其整合到自己的應用中，從而為用戶提供更智慧和個人化的服務。希望本文對您在Golang開發中使用百度AI介面有所幫助。
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