Golang开发者必须了解的百度AI接口:让你的应用更强大

1. 简介

百度AI开放平台提供了多种人工智能应用程序接口(API),它们基于百度在语音、图像、自然语言处理领域持续进行的深度学习研究和实践,帮助开发者轻松、快捷地实现AI功能。本文将介绍百度AI的一些主要接口及其在Golang开发中的应用。

2. 百度语音接口

2.1 语音合成接口

语音合成接口可以将文字转换成自然语音,适用于寄件、叮咛、语音导航、有声读物等场景。

以下是Golang语言实现调用语音合成REST API的示例代码:

package main

import (

"io/ioutil"

"net/http"

"net/url"

"os"

"strings"

)

func main() {

tokenUrl := "https://openapi.baidu.com/oauth/2.0/token"

granType := "client_credentials"

apiKey := "你的ApiKey"

secretKey := "你的SecretKey"

// 获取AccessToken

resp, _ := http.PostForm(tokenUrl,

url.Values{

"grant_type": {granType},

"client_id": {apiKey},

"client_secret": {secretKey},

})

defer resp.Body.Close()

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

fmt.Println(string(body))

tokenJson := make(map[string]interface{})

_ = json.Unmarshal([]byte(body), &tokenJson)

accessToken := tokenJson["access_token"].(string)

text := "欢迎使用百度语音"

speechUrl := "http://tsn.baidu.com/text2audio"

params := url.Values{}

params.Set("tex", text)

params.Set("lan", "zh")

params.Set("tok", accessToken)

params.Set("ctp", "1")

params.Set("cuid", "mypc")

params.Set("spd", "5")

params.Set("pit", "5")

params.Set("vol", "5")

params.Set("per", "4")

url := speechUrl + "?" + params.Encode()

resp, _ = http.Get(url)

defer resp.Body.Close()

data, _ := ioutil.ReadAll(resp.Body)

f, _ := os.Create("speech.mp3")

defer f.Close()

_, _ = f.Write(data)

}

该接口特别适合智能音箱、机器人、语音输入法、自动语音应答等领域。

2.2 语音识别接口

语音识别接口可以将音频流转换成文本,支持中英文流畅转换,具备极强的噪音适应性,适用于智能客服、智能家居等领域。

以下是Golang语言实现调用语音识别REST API的示例代码:

package main

import (

"bytes"

"crypto/md5"

"encoding/base64"

"encoding/hex"

"fmt"

"io/ioutil"

"net/http"

"net/url"

"strconv"

"strings"

)

func main() {

tokenUrl := "https://openapi.baidu.com/oauth/2.0/token"

granType := "client_credentials"

apiKey := "你的ApiKey"

secretKey := "你的SecretKey"

// 获取AccessToken

resp, _ := http.PostForm(tokenUrl,

url.Values{

"grant_type": {granType},

"client_id": {apiKey},

"client_secret": {secretKey},

})

defer resp.Body.Close()

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

fmt.Println(string(body))

tokenJson := make(map[string]interface{})

_ = json.Unmarshal([]byte(body), &tokenJson)

accessToken := tokenJson["access_token"].(string)

audioFile := "audio/16k.pcm"

f, _ := os.Open(audioFile)

defer f.Close()

data, _ := ioutil.ReadAll(f)

speechUrl := "http://vop.baidu.com/server_api"

params := make(map[string]interface{})

params["format"] = "pcm"

params["rate"] = 16000

params["dev_pid"] = 1536

params["channel"] = "1"

params["speech"] = base64.StdEncoding.EncodeToString(data)

params["len"] = len(data)

datas, _ := json.Marshal(params)

body = bytes.NewBuffer(datas)

req, _ := http.NewRequest("POST", speechUrl, body)

req.Header.Set("Content-Type", "application/json")

req.Header.Set("Content-Length", strconv.Itoa(len(string(datas))))

req.Header.Set("Accept", "application/json")

req.Header.Set("Authorization", "Bearer "+accessToken)

req.Header.Set("User-Agent", "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.169 Safari/537.36")

client := &http.Client{}

resp, _ = client.Do(req)

defer resp.Body.Close()

ret, _ := ioutil.ReadAll(resp.Body)

fmt.Println(string(ret))

}

3. 百度图像接口

3.1 图像识别接口

图像识别接口可以识别图片中的物体、场景、文字等信息,并结合用户行为、兴趣和历史,更好地为用户提供合适的服务和推荐。适用于智能家居、智能广告、智能营销等领域。

以下是Golang语言实现调用图像识别REST API的示例代码:

package main

import (

"encoding/base64"

"fmt"

"io/ioutil"

"net/http"

"net/url"

"strings"

)

func main() {

tokenUrl := "https://openapi.baidu.com/oauth/2.0/token"

granType := "client_credentials"

apiKey := "你的ApiKey"

secretKey := "你的SecretKey"

// 获取AccessToken

resp, _ := http.PostForm(tokenUrl,

url.Values{

"grant_type": {granType},

"client_id": {apiKey},

"client_secret": {secretKey},

})

defer resp.Body.Close()

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

fmt.Println(string(body))

tokenJson := make(map[string]interface{})

_ = json.Unmarshal([]byte(body), &tokenJson)

accessToken := tokenJson["access_token"].(string)

imgUrl := "http://a0.att.hudong.com/05/12/01300535031911141576123804961.jpg"

params := url.Values{}

params.Set("image", imgUrl)

params.Set("url", imgUrl)

params.Set("detect_direction", "true")

imgUrl = "http://a0.att.hudong.com/05/12/01300535031911141576123804961.jpg"

imgRes, _ := http.Get(imgUrl)

defer imgRes.Body.Close()

reader, _ := ioutil.ReadAll(imgRes.Body)

params.Set("image", base64.StdEncoding.EncodeToString(reader))

url := "https://aip.baidubce.com/rest/2.0/image-classify/v1/object_detect"

req, _ := http.NewRequest("POST", url, strings.NewReader(params.Encode()))

req.Header.Set("Content-Type", "application/x-www-form-urlencoded")

req.Header.Set("Authorization", "Bearer "+accessToken)

client := &http.Client{}

resp, _ = client.Do(req)

defer resp.Body.Close()

body, _ = ioutil.ReadAll(resp.Body)

fmt.Println(string(body))

}

3.2 图像搜索接口

图像搜索接口可以通过输入图片,进行相似图片检索,适用于电商、拍照搜索等场景。

以下是Golang语言实现调用图像搜索REST API的示例代码:

package main

import (

"bufio"

"encoding/base64"

"encoding/json"

"fmt"

"io/ioutil"

"net/http"

"os"

"strings"

)

func main() {

tokenUrl := "https://aip.baidubce.com/oauth/2.0/token"

granType := "client_credentials"

apiKey := "你的ApiKey"

secretKey := "你的SecretKey"

// 获取AccessToken

resp, _ := http.PostForm(tokenUrl,

url.Values{

"grant_type": {granType},

"client_id": {apiKey},

"client_secret": {secretKey},

})

defer resp.Body.Close()

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

fmt.Println(string(body))

tokenJson := make(map[string]interface{})

_ = json.Unmarshal([]byte(body), &tokenJson)

accessToken := tokenJson["access_token"].(string)

imgUrl := "http://a0.att.hudong.com/05/12/01300535031911141576123804961.jpg"

imgRes, _ := http.Get(imgUrl)

defer imgRes.Body.Close()

reader := bufio.NewReader(imgRes.Body)

content, _ := ioutil.ReadAll(reader)

params := map[string]string{

"tags": "100,10",

"tag_logic": "1",

"detection_types": "basic_classify",

}

imageBase64 := base64.URLEncoding.EncodeToString(content)

params["image"] = imageBase64

url := "https://aip.baidubce.com/rest/2.0/image-classify/v1/realtime_search/similar/search"

parambytes, _ := json.Marshal(params)

body := strings.NewReader(string(parambytes))

req, err := http.NewRequest("POST", url, body)

if err != nil {

fmt.Println(err)

}

req.Header.Set("Content-Type", "application/x-www-form-urlencoded")

req.Header.Set("Authorization", "Bearer "+accessToken)

client := &http.Client{}

resp, err := client.Do(req)

if err != nil {

fmt.Println(err)

}

defer resp.Body.Close()

response, _ := ioutil.ReadAll(resp.Body)

fmt.Println(string(response))

}

4. 百度自然语言处理接口

4.1 意图识别接口

意图识别接口可以通过输入的自然语言文本,识别用户意图,匹配业务场景,从而提供定制化的服务和回答。

以下是Golang语言实现调用意图识别REST API的示例代码:

package main

import (

"encoding/json"

"fmt"

"io/ioutil"

"net/http"

"net/url"

"strings"

)

func main() {

tokenUrl := "https://aip.baidubce.com/oauth/2.0/token"

granType := "client_credentials"

apiKey := "你的ApiKey"

secretKey := "你的SecretKey"

// 获取AccessToken

resp, _ := http.PostForm(tokenUrl,

url.Values{

"grant_type": {granType},

"client_id": {apiKey},

"client_secret": {secretKey},

})

defer resp.Body.Close()

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

fmt.Println(string(body))

tokenJson := make(map[string]interface{})

_ = json.Unmarshal([]byte(body), &tokenJson)

accessToken := tokenJson["access_token"].(string)

uri := "https://aip.baidubce.com/rpc/2.0/nlp/v1/lexer"

reqBody := fmt.Sprintf(`{

"text": "我的体温是36度5",

"mode":1

}`)

priceReq, _ := http.NewRequest(http.MethodPost, uri, strings.NewReader(reqBody))

priceReq.Header.Set("Content-Type", "application/json")

priceReq.Header.Set("Authorization", "Bearer "+accessToken)

httpClient := &http.Client{}

resp, err := httpClient.Do(priceReq)

if err != nil {

return

}

defer resp.Body.Close()

if resp.StatusCode != http.StatusOK {

return

}

cont, err := ioutil.ReadAll(resp.Body)

if err != nil {

return

}

fmt.Println(string(cont))

}

4.2 情感分析接口

情感分析接口可以对文字进行情感色彩分析,自动判断情感极性和情感倾向,并计算得分,适用于舆情监测、协同办公等领域。

以下是Golang语言实现调用情感分析REST API的示例代码:

package main

import (

"fmt"

"io/ioutil"

"net/http"

"net/url"

)

func main() {

tokenUrl := "https://aip.baidubce.com/oauth/2.0/token"

granType := "client_credentials"

apiKey := "你的ApiKey"

secretKey := "你的SecretKey"

// 获取AccessToken

resp, _ := http.PostForm(tokenUrl,

url.Values{

"grant_type": {granType},

"client_id": {apiKey},

"client_secret": {secretKey},

})

defer resp.Body.Close()

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

fmt.Println(string(body))

tokenJson := make(map[string]interface{})

_ = json.Unmarshal([]byte(body), &tokenJson)

accessToken := tokenJson["access_token"].(string)

// 调用情感分析接口

url := "https://aip.baidubce.com/rpc/2.0/nlp/v1/sentiment_classify"

postData := `{

"text": "这个酒店房间很干净,服务也很好。"

}`

req, _ := http.NewRequest("POST", url, strings.NewReader(postData))

req.Header.Set("Content-Type", "application/json")

req.Header.Set("Accept", "application/json")

req.Header.Set("Authorization", "Bearer "+accessToken)

client := &http.Client{}

resp, _ = client.Do(req)

defer resp.Body.Close()

body, _ = ioutil.ReadAll(resp.Body)

fmt.Println(string(body))

}

5. 总结

Golang作为一门新兴的编程语言,能够在人工智能中具有广泛的应用。本文介绍的百度AI开放平台的接口示例基于REST API和JSON格式,让开发者能够通过简单的HTTP请求发挥百度强大的AI能力,具备广泛的应用场景和开发价值。

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