Baidu AI interface and Golang: the best solution for building a quick question and answer system

Baidu AI interface and Golang: the best solution to build a fast question and answer system

Background
With the rapid development of artificial intelligence technology, question and answer systems have become An important part of modern information retrieval. When building an efficient, accurate, and fast question and answer system, it is particularly important to choose appropriate technologies and tools. This article will introduce how to use Baidu AI interface and Golang programming language to build an efficient question and answer system, and give a complete code example.

1. Introduction to Baidu AI interface
Baidu AI interface is a series of open interfaces launched by Baidu based on artificial intelligence technology. Among them, the natural language processing (NLP) interface provides rich semantic understanding functions, such as lexical analysis, word vector representation, sentiment analysis, etc. One of the most important components is the natural language question answering (NLP-QuestionAnswering) interface. The interface can automatically retrieve the best answer from a large corpus based on a given question.

2. Advantages of using Golang and Baidu AI interface together

1. Concurrent processing capability: Golang is a programming language with extremely strong concurrency performance and high development efficiency. When building a question and answer system, the response speed of the system can be improved by concurrently calling the Baidu AI interface.
2. Cross-platform support: Golang can convert code into executable files through the compiler to achieve cross-platform deployment. This allows us to easily deploy the question and answer system to different environments, such as cloud services, local servers, etc.
3. Strongly typed language: Golang is a statically strongly typed language that can detect many potential problems during compilation and provide better code maintainability. This makes us more robust when building question answering systems.
4. Baidu AI interface is rich in functions: Baidu AI interface not only provides question and answer functions, but also has other powerful natural language processing functions. This provides us with more possibilities to build a more intelligent question and answer system.

3. Code example of using Baidu AI interface and Golang to build a quick question and answer system
The following is a simple example that demonstrates how to use Baidu AI interface and Golang to build a quick question and answer system.

package main

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

const (
    apiKey = "your_api_key_here"
    secretKey = "your_secret_key_here"
)

type BaiduAIResp struct {
    LogID int `json:"log_id"`
    Result map[string]interface{} `json:"result"`
}

func main() {
    http.HandleFunc("/", handleRequest)
    http.ListenAndServe(":8080", nil)
}

func handleRequest(w http.ResponseWriter, r *http.Request) {
    question := r.URL.Query().Get("q")
    answer := getAnswer(question)
    fmt.Fprintf(w, "Question: %s
Answer: %s", question, answer)
}

func getAnswer(question string) string {
    client := &http.Client{}
    url := fmt.Sprintf("https://aip.baidubce.com/rpc/2.0/unit/service/chat?access_token=%s", getAccessToken())
    req, _ := http.NewRequest("POST", url, nil)
    req.Header.Set("Content-Type", "application/json")

    query := map[string]interface{}{
        "query": question,
    }
    reqBody, _ := json.Marshal(query)
    req.Body = ioutil.NopCloser(bytes.NewReader(reqBody))

    resp, _ := client.Do(req)
    defer resp.Body.Close()

    body, _ := ioutil.ReadAll(resp.Body)
    var baiduResp BaiduAIResp 
    json.Unmarshal(body, &baiduResp)

    result := baiduResp.Result["action_list"].([]interface{})[0].(map[string]interface{})["say"].(string)
    return result
}

func getAccessToken() string {
    client := &http.Client{}
    url := fmt.Sprintf("https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=%s&client_secret=%s", apiKey, secretKey)
    req, _ := http.NewRequest("POST", url, nil)

    resp, _ := client.Do(req)
    defer resp.Body.Close()

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

    accessToken := result["access_token"].(string)
    return accessToken
}

In the above code example, we implement a simple HTTP server through the http package, receive questions submitted by users, and call the Baidu AI interface to obtain the answers. When making concurrent requests to the Baidu AI interface, we use the "sync" package to ensure concurrency safety. It should be noted that in order to use Baidu AI interface, you need to replace apiKey and secretKey with the authentication information of your own Baidu AI interface.

Conclusion
This article introduces how to use Baidu AI interface and Golang programming language to build a quick question and answer system. By concurrently calling Baidu AI interface and Golang's powerful programming capabilities, we can build an efficient and accurate question and answer system. I hope this article is helpful to you, thank you for reading!

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