在Python中集成訊飛星火案例

python復(fù)制

import requests



# 假設(shè)的API URL，實(shí)際使用時(shí)應(yīng)替換為訊飛星火的實(shí)際API地址

api_url = "https://api.iflytek.com/starfire/question"



# 設(shè)置請(qǐng)求頭和參數(shù)

headers = {

    "Content-Type": "application/json",

    "Authorization": "Bearer your_access_token"  # 替換為你的訪問令牌

}



# 設(shè)置請(qǐng)求數(shù)據(jù)

data = {

    "question": "如何預(yù)防電腦病毒？"

}



# 發(fā)送請(qǐng)求并獲取響應(yīng)

response = requests.post(api_url, headers=headers, json=data)



# 打印響應(yīng)內(nèi)容

print(response.json())

在Python中集成360多模態(tài)大語言模型案例

python

# 假設(shè)的API URL，實(shí)際使用時(shí)應(yīng)替換為360多模態(tài)大語言模型的實(shí)際API地址

api_url = "https://api.360.com/multimodal/conversation"



import requests



# 設(shè)置請(qǐng)求頭和參數(shù)

headers = {

    "Content-Type": "application/json",

    "Authorization": "Bearer your_access_token"  # 替換為你的訪問令牌

}



# 設(shè)置請(qǐng)求數(shù)據(jù)，例如繼續(xù)之前關(guān)于天氣的對(duì)話

data = {

    "context": "之前我們討論了關(guān)于天氣的話題。",

    "new_input": "今天天氣怎么樣？"

}



# 發(fā)送請(qǐng)求并獲取響應(yīng)

response = requests.post(api_url, headers=headers, json=data)



# 打印響應(yīng)內(nèi)容

print(response.json())

在Java中集成豆包案例

java復(fù)制

import java.io.BufferedReader;

import java.io.InputStreamReader;

import java.io.OutputStream;

import java.net.HttpURLConnection;

import java.net.URL;

import java.nio.charset.StandardCharsets;



public class DouBaoAIJokeIntegration {



    private static final String API_KEY = "your_api_key_here"; // 替換為您的API密鑰

    private static final String API_URL = "https://api.doubaodotcom/ai/joke"; // 假設(shè)的API URL



    public static void main(String[] args) {

        String jokeRequest = "{ \"type\": \"random\" }"; // 請(qǐng)求隨機(jī)笑話的JSON字符串



        try {

            // 創(chuàng)建URL對(duì)象

            URL url = new URL(API_URL);

            // 打開連接

            HttpURLConnection connection = (HttpURLConnection) url.openConnection();

            // 設(shè)置請(qǐng)求方法

            connection.setRequestMethod("POST");

            // 設(shè)置請(qǐng)求頭信息

            connection.setRequestProperty("Content-Type", "application/json");

            connection.setRequestProperty("Authorization", "Bearer " + API_KEY);

            // 發(fā)送POST請(qǐng)求必須設(shè)置

            connection.setDoOutput(true);



            // 獲取輸出流并寫入請(qǐng)求體

            try(OutputStream os = connection.getOutputStream()) {

                byte[] input = jokeRequest.getBytes(StandardCharsets.UTF_8);

                os.write(input, 0, input.length);

            }



            // 讀取響應(yīng)

            try(BufferedReader br = new BufferedReader(

                new InputStreamReader(connection.getInputStream(), StandardCharsets.UTF_8))) {

                StringBuilder response = new StringBuilder();

                String responseLine = null;

                while ((responseLine = br.readLine()) != null) {

                    response.append(responseLine.trim());

                }

                System.out.println("Joke from DouBao AI: " + response.toString());

            }



        } catch (Exception e) {

            e.printStackTrace();

        }

    }

}

在Java中集成MiniMax語音大模型案例

import java.io.BufferedReader;

import java.io.InputStreamReader;

import java.net.HttpURLConnection;

import java.net.URL;



public class MiniMaxIntegration {



    public static void main(String[] args) {

        try {

            String apiKey = "您的 API 密鑰";

            String url = "http://www.dlbhg.com/api/scd2024061814753aa6cbc1/v2/scd2024061814753aa6cbc1/tdk-generator";

            URL obj = new URL(url);

            HttpURLConnection con = (HttpURLConnection) obj.openConnection();

            con.setRequestMethod("POST");

            con.setRequestProperty("Content-Type", "application/json");

            con.setRequestProperty("Authorization", "Bearer " + apiKey);



            // 發(fā)送請(qǐng)求

            con.setDoOutput(true);



            // 處理響應(yīng)

            int responseCode = con.getResponseCode();

            if (responseCode == HttpURLConnection.HTTP_OK) {

                BufferedReader in = new BufferedReader(new InputStreamReader(con.getInputStream()));

                String inputLine;

                StringBuffer response = new StringBuffer();

                while ((inputLine = in.readLine())!= null) {

                    response.append(inputLine);

                }

                in.close();

                System.out.println(response.toString());

            } else {

                System.out.println("Error: " + responseCode);

            }

        } catch (Exception e) {

            e.printStackTrace();

        }

    }

}

如何找到AI大模型

冪簡(jiǎn)集成是國內(nèi)領(lǐng)先的API集成管理平臺(tái)，專注于為開發(fā)者提供全面、高效、易用的API集成解決方案。冪簡(jiǎn)API平臺(tái)可以通過以下兩種方式找到所需大模型：通過關(guān)鍵詞搜索AI、或者從API Hub分類頁進(jìn)入尋找。

此外，冪簡(jiǎn)集成博客會(huì)編寫API入門指南、多語言API對(duì)接指南、API測(cè)評(píng)等維度的文章，讓開發(fā)者快速使用目標(biāo)API。