Golang and Baidu AI interface: the perfect solution to build an intelligent question and answer system

Golang and Baidu AI interface: the perfect solution to build an intelligent question and answer system

Abstract:
With the continuous development of artificial intelligence technology, intelligent question and answer systems are in various has been widely used in the field. This article will introduce how to use the Golang programming language combined with Baidu AI interface to build an intelligent question and answer system, and provide relevant code examples.

1. Introduction
   The intelligent question and answer system is a system that can simulate conversations between people and give accurate answers based on the user's questions. Its application scenarios are very wide, such as online customer service, intelligent assistants, etc. There are currently many mature intelligent question and answer systems on the market, such as Xiaodu Home, Tmall Genie, etc. Their effectiveness is mostly based on powerful semantic understanding and natural language processing capabilities.
2. Golang and Baidu AI interface
   Golang is an open source programming language with efficient concurrency and lightweight features. Its ease of learning and rich standard library make it ideal for building high-performance applications.

Baidu AI interface provides a wealth of artificial intelligence services, including speech recognition, image recognition, natural language processing and other functions. Among them, natural language processing (NLP) involves the core capabilities of the intelligent question and answer system, and Baidu AI interface can realize these functions through API calls.

3. Building an intelligent question and answer system
   Based on Golang, we will build a simple intelligent question and answer system through Baidu AI interface. First, we need to apply for an API Key and Secret Key on the Baidu AI platform to call the interface. Next, we use Golang's net/http package to send HTTP requests, and use the encoding/json package to process the returned JSON data.

Code example:

package main

import (
    "fmt"
    "net/http"
    "io/ioutil"
    "encoding/json"
)

const (
    apiKey = "your apiKey"
    secretKey = "your secretKey"
)

type ResponseData struct {
    ErrorCode int `json:"error_code"`
    ErrorMsg  string `json:"error_msg"`
    Data      struct {
        Answer  string `json:"answer"`
    } `json:"data"`
}

func main() {
    question := "你叫什么名字？"
    url := fmt.Sprintf("http://aip.baidubce.com/rpc/2.0/unit/bot/chat?access_token=%s", getToken())

    reqBody := map[string]interface{}{
        "bot_session": "",
        "log_id": "",
        "request": map[string]string{
            "bernard_level": "1",
            "client_session": `{"client_results":"", "candidate_options":[]}`,
            "query": question,
            "query_info": `{"asr_candidates":[], "source":"KEYBOARD", "type":"TEXT"}`,
            "updates": "",
        },
        "bot_id": "your botId",
    }

    reqData, _ := json.Marshal(reqBody)
    resp, _ := http.Post(url, "application/json", bytes.NewBuffer(reqData))
    defer resp.Body.Close()

    body, _ := ioutil.ReadAll(resp.Body)
    data := ResponseData{}
    json.Unmarshal(body, &data)

    if data.ErrorCode == 0 {
        fmt.Println("问：", question)
        fmt.Println("答：", data.Data.Answer)
    } else {
        fmt.Println("获取答案失败：", data.ErrorMsg)
    }
}

func getToken() string {
    url := fmt.Sprintf("https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=%s&client_secret=%s", apiKey, secretKey)
    resp, _ := http.Get(url)
    defer resp.Body.Close()

    body, _ := ioutil.ReadAll(resp.Body)
    data := map[string]interface{}{}
    json.Unmarshal(body, &data)

    return data["access_token"].(string)
}

In the code, we first define the structure of the request and response data, and then in the main function, build it according to the problem Requested json data and send the request via http.Post. Next, we parse the returned data. If the return code is 0, it means the answer is successfully obtained and the question and answer are printed out. Otherwise, it means that obtaining the answer fails and an error message is printed.

4. Summary
   This article introduces how to use Golang and Baidu AI interface to build an intelligent question and answer system. The efficiency of Golang and the asynchronous processing capabilities of Baidu AI interface provide a perfect solution for the construction of intelligent question and answer system. Hope this article is helpful to you, thanks for reading!

The above is the detailed content of Golang and Baidu AI interface: the perfect solution to build an intelligent question and answer system. For more information, please follow other related articles on the PHP Chinese website!