SpringBoot怎么整合chatGPT

其他教程   发布日期:2023年11月04日   浏览次数:307

这篇文章主要介绍了SpringBoot怎么整合chatGPT的相关知识,内容详细易懂,操作简单快捷,具有一定借鉴价值,相信大家阅读完这篇SpringBoot怎么整合chatGPT文章都会有所收获,下面我们一起来看看吧。

    1 添加依赖

            <!-- 导入openai依赖 -->
            <dependency>
                <groupId>com.theokanning.openai-gpt3-java</groupId>
                <artifactId>client</artifactId>
                <version>0.8.1</version>
            </dependency>

    2 创建相关文件

    2.1 实体类:OpenAi.java

    package com.wkf.workrecord.tools.openai;
     
    import lombok.AllArgsConstructor;
    import lombok.Data;
    import lombok.NoArgsConstructor;
     
    /**
     * @author wuKeFan
     * @date 2023-02-10 15:40:22
     */
    @Data
    @NoArgsConstructor
    @AllArgsConstructor
    public class OpenAi {
     
        String id;
     
        String name;
     
        String desc;
     
        String model;
     
        // 提示模板
        String prompt;
     
        // 创新采样
        Double temperature;
     
        // 情绪采样
        Double topP;
     
        // 结果条数
        Double n = 1d;
     
        // 频率处罚系数
        Double frequencyPenalty;
     
        // 重复处罚系数
        Double presencePenalty;
     
        // 停用词
        String stop;
     
    }

    2.2 配置类:OpenAiProperties.java

    package com.wkf.workrecord.tools.openai;
     
    import lombok.Data;
    import org.springframework.beans.factory.InitializingBean;
    import org.springframework.boot.context.properties.ConfigurationProperties;
     
    /**
     * @author wuKeFan
     * @date 2023-02-10 15:25:32
     */
     
    @Data
    @ConfigurationProperties(prefix = "openai")
    public class OpenAiProperties implements InitializingBean {
        // 秘钥
        String token;
        // 超时时间
        Integer timeout;
     
        // 设置属性时同时设置给OpenAiUtils
        @Override
        public void afterPropertiesSet() throws Exception {
            OpenAiUtils.OPENAPI_TOKEN = token;
            OpenAiUtils.TIMEOUT = timeout;
        }
    }

    2.3 核心业务逻辑OpenAiUtils.java

    package com.wkf.workrecord.tools.openai;
     
    import com.theokanning.openai.OpenAiService;
    import com.theokanning.openai.completion.CompletionChoice;
    import com.theokanning.openai.completion.CompletionRequest;
    import org.springframework.util.StringUtils;
    import java.util.*;
     
    /**
     * @author wuKeFan
     * @date 2023-02-10 15:32:18
     */
    public class OpenAiUtils {
        public static final Map<String, OpenAi> PARMS = new HashMap<>();
     
        static {
            PARMS.put("OpenAi01", new OpenAi("OpenAi01", "问&答", "依据现有知识库问&答", "text-davinci-003", "Q: %s
    A:", 0.0, 1.0, 1.0, 0.0, 0.0, "
    "));
            PARMS.put("OpenAi02", new OpenAi("OpenAi02", "语法纠正", "将句子转换成标准的英语,输出结果始终是英文", "text-davinci-003", "%s", 0.0, 1.0, 1.0, 0.0, 0.0, ""));
            PARMS.put("OpenAi03", new OpenAi("OpenAi03", "内容概况", "将一段话,概况中心", "text-davinci-003", "Summarize this for a second-grade student:
    %s", 0.7, 1.0, 1.0, 0.0, 0.0, ""));
            PARMS.put("OpenAi04", new OpenAi("OpenAi04", "生成OpenAi的代码", "一句话生成OpenAi的代码", "code-davinci-002", """"
    Util exposes the following:
    util.openai() -> authenticates & returns the openai module, which has the following functions:
    openai.Completion.create(
        prompt="<my prompt>", # The prompt to start completing from
        max_tokens=123, # The max number of tokens to generate
        temperature=1.0 # A measure of randomness
        echo=True, # Whether to return the prompt in addition to the generated completion
    )
    """
    import util
    """
    %s
    """
    
    ", 0.0, 1.0, 1.0, 0.0, 0.0, """""));
            PARMS.put("OpenAi05", new OpenAi("OpenAi05", "程序命令生成", "一句话生成程序的命令,目前支持操作系统指令比较多", "text-davinci-003", "Convert this text to a programmatic command:
    
    Example: Ask Constance if we need some bread
    Output: send-msg `find constance` Do we need some bread?
    
    %s", 0.0, 1.0, 1.0, 0.2, 0.0, ""));
            PARMS.put("OpenAi06", new OpenAi("OpenAi06", "语言翻译", "把一种语法翻译成其它几种语言", "text-davinci-003", "Translate this into %s:
    %s", 0.3, 1.0, 1.0, 0.0, 0.0, ""));
            PARMS.put("OpenAi07", new OpenAi("OpenAi07", "Stripe国际API生成", "一句话生成Stripe国际支付API", "code-davinci-002", """"
    Util exposes the following:
    
    util.stripe() -> authenticates & returns the stripe module; usable as stripe.Charge.create etc
    """
    import util
    """
    %s
    """", 0.0, 1.0, 1.0, 0.0, 0.0, """""));
            PARMS.put("OpenAi08", new OpenAi("OpenAi08", "SQL语句生成", "依据上下文中的表信息,生成SQL语句", "code-davinci-002", "### %s SQL tables, 表字段信息如下:
    %s
    #
    ### %s
     %s", 0.0, 1.0, 1.0, 0.0, 0.0, "# ;"));
            PARMS.put("OpenAi09", new OpenAi("OpenAi09", "结构化生成", "对于非结构化的数据抽取其中的特征生成结构化的表格", "text-davinci-003", "A table summarizing, use Chinese:
    %s
    ", 0.0, 1.0, 1.0, 0.0, 0.0, ""));
            PARMS.put("OpenAi10", new OpenAi("OpenAi10", "信息分类", "把一段信息继续分类", "text-davinci-003", "%s
    分类:", 0.0, 1.0, 1.0, 0.0, 0.0, ""));
            PARMS.put("OpenAi11", new OpenAi("OpenAi11", "Python代码解释", "把代码翻译成文字,用来解释程序的作用", "code-davinci-002", "# %s 
     %s 
    
    # 解释代码作用
    
    #", 0.0, 1.0, 1.0, 0.0, 0.0, ""));
            PARMS.put("OpenAi12", new OpenAi("OpenAi12", "文字转表情符号", "将文本编码成表情服务", "text-davinci-003", "转换文字为表情。
    %s:", 0.8, 1.0, 1.0, 0.0, 0.0, "
    "));
            PARMS.put("OpenAi13", new OpenAi("OpenAi13", "时间复杂度计算", "求一段代码的时间复杂度", "text-davinci-003", "%s
    """
    函数的时间复杂度是", 0.0, 1.0, 1.0, 0.0, 0.0, "
    "));
            PARMS.put("OpenAi14", new OpenAi("OpenAi14", "程序代码翻译", "把一种语言的代码翻译成另外一种语言的代码", "code-davinci-002", "##### 把这段代码从%s翻译成%s
    ### %s
        
       %s
        
    ### %s", 0.0, 1.0, 1.0, 0.0, 0.0, "###"));
            PARMS.put("OpenAi15", new OpenAi("OpenAi15", "高级情绪评分", "支持批量列表的方式检查情绪", "text-davinci-003", "对下面内容进行情感分类:
    %s"
    情绪评级:", 0.0, 1.0, 1.0, 0.0, 0.0, ""));
            PARMS.put("OpenAi16", new OpenAi("OpenAi16", "代码解释", "对一段代码进行解释", "code-davinci-002", "代码:
    %s
    """
    上面的代码在做什么:
    1. ", 0.0, 1.0, 1.0, 0.0, 0.0, """""));
            PARMS.put("OpenAi17", new OpenAi("OpenAi17", "关键字提取", "提取一段文本中的关键字", "text-davinci-003", "抽取下面内容的关键字:
    %s", 0.5, 1.0, 1.0, 0.8, 0.0, ""));
            PARMS.put("OpenAi18", new OpenAi("OpenAi18", "问题解答", "类似解答题", "text-davinci-003", "Q: %s
    A: ?", 0.0, 1.0, 1.0, 0.0, 0.0, ""));
            PARMS.put("OpenAi19", new OpenAi("OpenAi19", "广告设计", "给一个产品设计一个广告", "text-davinci-003", "为下面的产品创作一个创业广告,用于投放到抖音上:
    产品:%s.", 0.5, 1.0, 1.0, 0.0, 0.0, ""));
            PARMS.put("OpenAi20", new OpenAi("OpenAi20", "产品取名", "依据产品描述和种子词语,给一个产品取一个好听的名字", "text-davinci-003", "产品描述: %s.
    种子词: %s.
    产品名称: ", 0.8, 1.0, 1.0, 0.0, 0.0, ""));
            PARMS.put("OpenAi21", new OpenAi("OpenAi21", "句子简化", "把一个长句子简化成一个短句子", "text-davinci-003", "%s
    Tl;dr: ", 0.7, 1.0, 1.0, 0.0, 1.0, ""));
            PARMS.put("OpenAi22", new OpenAi("OpenAi22", "修复代码Bug", "自动修改代码中的bug", "code-davinci-002", "##### 修复下面代码的bug
    ### %s
     %s
    ###  %s
    ", 0.0, 1.0, 1.0, 0.0, 0.0, "###"));
            PARMS.put("OpenAi23", new OpenAi("OpenAi23", "表格填充数据", "自动为一个表格生成数据", "text-davinci-003", "spreadsheet ,%s rows:
    %s
    ", 0.5, 1.0, 1.0, 0.0, 0.0, ""));
            PARMS.put("OpenAi24", new OpenAi("OpenAi24", "语言聊天机器人", "各种开发语言的两天机器人", "code-davinci-002", "You: %s
    %s机器人:", 0.0, 1.0, 1.0, 0.5, 0.0, "You: "));
            PARMS.put("OpenAi25", new OpenAi("OpenAi25", "机器学习机器人", "机器学习模型方面的机器人", "text-davinci-003", "You: %s
    ML机器人:", 0.3, 1.0, 1.0, 0.5, 0.0, "You: "));
            PARMS.put("OpenAi26", new OpenAi("OpenAi26", "清单制作", "可以列出各方面的分类列表,比如歌单", "text-davinci-003", "列出10%s:", 0.5, 1.0, 1.0, 0.52, 0.5, "11.0"));
            PARMS.put("OpenAi27", new OpenAi("OpenAi27", "文本情绪分析", "对一段文字进行情绪分析", "text-davinci-003", "推断下面文本的情绪是积极的, 中立的, 还是消极的.
    文本: "%s"
    观点:", 0.0, 1.0, 1.0, 0.5, 0.0, ""));
            PARMS.put("OpenAi28", new OpenAi("OpenAi28", "航空代码抽取", "抽取文本中的航空diam信息", "text-davinci-003", "抽取下面文本中的航空代码:
    文本:"%s"
    航空代码:", 0.0, 1.0, 1.0, 0.0, 0.0, "
    "));
            PARMS.put("OpenAi29", new OpenAi("OpenAi29", "生成SQL语句", "无上下文,语句描述生成SQL", "text-davinci-003", "%s", 0.3, 1.0, 1.0, 0.0, 0.0, ""));
            PARMS.put("OpenAi30", new OpenAi("OpenAi30", "抽取联系信息", "从文本中抽取联系方式", "text-davinci-003", "从下面文本中抽取%s:
    %s", 0.0, 1.0, 1.0, 0.0, 0.0, ""));
            PARMS.put("OpenAi31", new OpenAi("OpenAi31", "程序语言转换", "把一种语言转成另外一种语言", "code-davinci-002", "#%s to %s:
    %s:%s
    
    %s:", 0.0, 1.0, 1.0, 0.0, 0.0, ""));
            PARMS.put("OpenAi32", new OpenAi("OpenAi32", "好友聊天", "模仿好友聊天", "text-davinci-003", "You: %s
    好友:", 0.5, 1.0, 1.0, 0.5, 0.0, "You:"));
            PARMS.put("OpenAi33", new OpenAi("OpenAi33", "颜色生成", "依据描述生成对应颜色", "text-davinci-003", "%s:
    background-color: ", 0.0, 1.0, 1.0, 0.0, 0.0, ";"));
            PARMS.put("OpenAi34", new OpenAi("OpenAi34", "程序文档生成", "自动为程序生成文档", "code-davinci-002", "# %s
     
    %s
    # 上述代码的详细、高质量文档字符串:
    """", 0.0, 1.0, 1.0, 0.0, 0.0, "#""""));
            PARMS.put("OpenAi35", new OpenAi("OpenAi35", "段落创作", "依据短语生成相关文短", "text-davinci-003", "为下面短语创建一个中文段:
    %s:
    ", 0.5, 1.0, 1.0, 0.0, 0.0, ""));
            PARMS.put("OpenAi36", new OpenAi("OpenAi36", "代码压缩", "把多行代码简单的压缩成一行", "code-davinci-002", "将下面%s代码转成一行:
    %s
    %s一行版本:", 0.0, 1.0, 1.0, 0.0, 0.0, ";"));
            PARMS.put("OpenAi37", new OpenAi("OpenAi37", "故事创作", "依据一个主题创建一个故事", "text-davinci-003", "主题: %s
    故事创作:", 0.8, 1.0, 1.0, 0.5, 0.0, ""));
            PARMS.put("OpenAi38", new OpenAi("OpenAi38", "人称转换", "第一人称转第3人称", "text-davinci-003", "把下面内容从第一人称转为第三人称 (性别女):
    %s
    ", 0.0, 1.0, 1.0, 0.0, 0.0, ""));
            PARMS.put("OpenAi39", new OpenAi("OpenAi39", "摘要说明", "依据笔记生成摘要说明", "text-davinci-003", "将下面内容转换成将下%s摘要:
    %s", 0.0, 1.0, 1.0, 0.0, 0.0, ""));
            PARMS.put("OpenAi40", new OpenAi("OpenAi40", "头脑风暴", "给定一个主题,让其生成一些主题相关的想法", "text-davinci-003", "头脑风暴一些关于%s的想法:", 0.6, 1.0, 1.0, 1.0, 1.0, ""));
            PARMS.put("OpenAi41", new OpenAi("OpenAi41", "ESRB文本分类", "按照ESRB进行文本分类", "text-davinci-003", "Provide an ESRB rating for the following text:
    
    "%s"
    
    ESRB rating:", 0.3, 1.0, 1.0, 0.0, 0.0, "
    "));
            PARMS.put("OpenAi42", new OpenAi("OpenAi42", "提纲生成", "按照提示为相关内容生成提纲", "text-davinci-003", "为%s提纲:", 0.3, 1.0, 1.0, 0.0, 0.0, ""));
            PARMS.put("OpenAi43", new OpenAi("OpenAi43", "美食制作(后果自负)", "依据美食名称和材料生成美食的制作步骤", "text-davinci-003", "依据下面成分和美食,生成制作方法:
    %s
    成分:
    %s
    制作方法:", 0.3, 1.0, 1.0, 0.0, 0.0, ""));
            PARMS.put("OpenAi44", new OpenAi("OpenAi44", "AI聊天", "与AI机器进行聊天", "text-davinci-003", "Human: %s", 0.9, 1.0, 1.0, 0.0, 0.6, "Human:AI:"));
            PARMS.put("OpenAi45", new OpenAi("OpenAi45", "摆烂聊天", "与讽刺机器进行聊天", "text-davinci-003", "Marv不情愿的回答问题.
    You:%s
    Marv:", 0.5, 0.3, 1.0, 0.5, 0.0, ""));
            PARMS.put("OpenAi46", new OpenAi("OpenAi46", "分解步骤", "把一段文本分解成几步来完成", "text-davinci-003", "为下面文本生成次序列表,并增加列表数子: 
    %s
    ", 0.3, 1.0, 1.0, 0.0, 0.0, ""));
            PARMS.put("OpenAi47", new OpenAi("OpenAi47", "点评生成", "依据文本内容自动生成点评", "text-davinci-003", "依据下面内容,进行点评:
    %s
    点评:", 0.5, 1.0, 1.0, 0.0, 0.0, ""));
            PARMS.put("OpenAi48", new OpenAi("OpenAi48", "知识学习", "可以为学习知识自动解答", "text-davinci-003", "%s", 0.3, 1.0, 1.0, 0.0, 0.0, ""));
            PARMS.put("OpenAi49", new OpenAi("OpenAi49", "面试", "生成面试题", "text-davinci-003", "创建10道%s相关的面试题(中文):
    ", 0.5, 1.0, 10.0, 0.0, 0.0, ""));
        }
     
        public static String OPENAPI_TOKEN = "";
        public static Integer TIMEOUT = null;
     
        /**
         * 获取ai
         *
         * @param openAi
         * @param prompt
         * @return
         */
        public static List<CompletionChoice> getAiResult(OpenAi openAi, String prompt) {
            if (TIMEOUT == null || TIMEOUT < 1000) {
                TIMEOUT = 3000;
            }
            OpenAiService service = new OpenAiService(OPENAPI_TOKEN, TIMEOUT);
            CompletionRequest.CompletionRequestBuilder builder = CompletionRequest.builder()
                    .model(openAi.getModel())
                    .prompt(prompt)
                    .temperature(openAi.getTemperature())
                    .maxTokens(1000)
                    .topP(openAi.getTopP())
                    .frequencyPenalty(openAi.getFrequencyPenalty())
                    .presencePenalty(openAi.getPresencePenalty());
            if (!StringUtils.isEmpty(openAi.getStop())) {
                builder.stop(Arrays.asList(openAi.getStop().split(",")));
            }
            CompletionRequest completionRequest = builder.build();
            return service.createCompletion(completionRequest).getChoices();
        }
     
        /**
         * 问答
         *
         * @param question
         * @return
         */
        public static List<CompletionChoice> getQuestionAnswer(String question) {
            OpenAi openAi = PARMS.get("OpenAi01");
            return getAiResult(openAi, String.format(openAi.getPrompt(), question));
        }
     
        /**
         * 语法纠错
         *
         * @param text
         * @return
         */
        public static List<CompletionChoice> getGrammarCorrection(String text) {
            OpenAi openAi = PARMS.get("OpenAi02");
            return getAiResult(openAi, String.format(openAi.getPrompt(), text));
        }
     
        /**
         * 将一段话,概况中心
         *
         * @param text
         * @return
         */
        public static List<CompletionChoice> getSummarize(String text) {
            OpenAi openAi = PARMS.get("OpenAi03");
            return getAiResult(openAi, String.format(openAi.getPrompt(), text));
        }
     
        /**
         * 一句话生成OpenAi的代码
         *
         * @param text
         * @return
         */
        public static List<CompletionChoice> getOpenAiApi(String text) {
            OpenAi openAi = PARMS.get("OpenAi04");
            return getAiResult(openAi, String.format(openAi.getPrompt(), text));
        }
     
        /**
         * 一句话生成程序的命令,目前支持操作系统指令比较多
         *
         * @param text
         * @return
         */
        public static List<CompletionChoice> getTextToCommand(String text) {
            OpenAi openAi = PARMS.get("OpenAi05");
            return getAiResult(openAi, String.format(openAi.getPrompt(), text));
        }
     
        /**
         * 把一种语法翻译成其它几种语言
         *
         * @param text
         * @return
         */
        public static List<CompletionChoice> getTranslatesLanguages(String text, String translatesLanguages) {
            if (StringUtils.isEmpty(translatesLanguages)) {
                translatesLanguages = "  1. French, 2. Spanish and 3. English";
            }
            OpenAi openAi = PARMS.get("OpenAi06");
            return getAiResult(openAi, String.format(openAi.getPrompt(), translatesLanguages, text));
        }
     
        /**
         * 一句话生成Stripe国际支付API
         *
         * @param text
         * @return
         */
        public static List<CompletionChoice> getStripeApi(String text) {
            OpenAi openAi = PARMS.get("OpenAi07");
            return getAiResult(openAi, String.format(openAi.getPrompt(), text));
        }
     
     
        /**
         * 依据上下文中的表信息,生成SQL语句
         *
         * @param databaseType 数据库类型
         * @param tables       上午依赖的表和字段 Employee(id, name, department_id)
         * @param text         SQL描述
         * @param sqlType      sql类型,比如SELECT
         * @return
         */
        public static List<CompletionChoice> getStripeApi(String databaseType, List<String> tables, String text, String sqlType) {
            OpenAi openAi = PARMS.get("OpenAi08");
            StringJoiner joiner = new StringJoiner("
    ");
            for (int i = 0; i < tables.size(); i++) {
                joiner.add("# " + tables);
            }
            return getAiResult(openAi, String.format(openAi.getPrompt(), databaseType, joiner.toString(), text, sqlType));
        }
     
        /**
         * 对于非结构化的数据抽取其中的特征生成结构化的表格
         *
         * @param text 非结构化的数据
         * @return
         */
        public static List<CompletionChoice> getUnstructuredData(String text) {
            OpenAi openAi = PARMS.get("OpenAi09");
            return getAiResult(openAi, String.format(openAi.getPrompt(), text));
        }
     
        /**
         * 把一段信息继续分类
         *
         * @param text 要分类的文本
         * @return
         */
        public static List<CompletionChoice> getTextCategory(String text) {
            OpenAi openAi = PARMS.get("OpenAi10");
            return getAiResult(openAi, String.format(openAi.getPrompt(), text));
        }
     
        /**
         * 把一段信息继续分类
         *
         * @param codeType 代码类型,比如Python
         * @param code     要解释的代码
         * @return
         */
        public static List<CompletionChoice> getCodeExplain(String codeType, String code) {
            OpenAi openAi = PARMS.get("OpenAi11");
            return getAiResult(openAi, String.format(openAi.getPrompt(), codeType, code));
        }
     
        /**
         * 将文本编码成表情服务
         *
         * @param text 文本
         * @return
         */
        public static List<CompletionChoice> getTextEmoji(String text) {
            OpenAi openAi = PARMS.get("OpenAi12");
            return getAiResult(openAi, String.format(openAi.getPrompt(), text));
        }
     
        /**
         * 求一段代码的时间复杂度
         *
         * @param code 代码
         * @return
         */
        public static List<CompletionChoice> getTimeComplexity(String code) {
            OpenAi openAi = PARMS.get("OpenAi13");
            return getAiResult(openAi, String.format(openAi.getPrompt(), code));
        }
     
     
        /**
         * 把一种语言的代码翻译成另外一种语言的代码
         *
         * @param fromLanguage 要翻译的代码语言
         * @param toLanguage   要翻译成的代码语言
         * @param code         代码
         * @return
         */
        public static List<CompletionChoice> getTranslateProgramming(String fromLanguage, String toLanguage, String code) {
            OpenAi openAi = PARMS.get("OpenAi14");
            return getAiResult(openAi, String.format(openAi.getPrompt(), fromLanguage, toLanguage, fromLanguage, code, toLanguage));
        }
     
        /**
         * 支持批量列表的方式检查情绪
         *
         * @param texts 文本
         * @return
         */
        public static List<CompletionChoice> getBatchTweetClassifier(List<String> texts) {
            OpenAi openAi = PARMS.get("OpenAi15");
            StringJoiner stringJoiner = new StringJoiner("
    ");
            for (int i = 0; i < texts.size(); i++) {
                stringJoiner.add((i + 1) + ". " + texts.get(i));
            }
            return getAiResult(openAi, String.format(openAi.getPrompt(), stringJoiner.toString()));
        }
     
        /**
         * 对一段代码进行解释
         *
         * @param code 文本
         * @return
         */
        public static List<CompletionChoice> getExplainCOde(String code) {
            OpenAi openAi = PARMS.get("OpenAi16");
            return getAiResult(openAi, String.format(openAi.getPrompt(), code));
        }
     
        /**
         * 提取一段文本中的关键字
         *
         * @param text 文本
         * @return
         */
        public static List<CompletionChoice> getTextKeywords(String text) {
            OpenAi openAi = PARMS.get("OpenAi17");
            return getAiResult(openAi, String.format(openAi.getPrompt(), text));
        }
     
        /**
         * 事实回答答题
         *
         * @param text 文本
         * @return
         */
        public static List<CompletionChoice> getFactualAnswering(String text) {
            OpenAi openAi = PARMS.get("OpenAi18");
            return getAiResult(openAi, String.format(openAi.getPrompt(), text));
        }
     
        /**
         * 给一个产品设计一个广告
         *
         * @param text 文本
         * @return
         */
        public static List<CompletionChoice> getAd(String text) {
            OpenAi openAi = PARMS.get("OpenAi19");
            return getAiResult(openAi, String.format(openAi.getPrompt(), text));
        }
     
        /**
         * 依据产品描述和种子词语,给一个产品取一个好听的名字
         *
         * @param productDescription 产品描述
         * @param seedWords          种子词语
         * @return
         */
        public static List<CompletionChoice> getProductName(String productDescription, String seedWords) {
            OpenAi openAi = PARMS.get("OpenAi20");
            return getAiResult(openAi, String.format(openAi.getPrompt(), productDescription, seedWords));
        }
     
        /**
         * 把一个长句子简化成一个短句子
         *
         * @param text 长句子
         * @return
         */
        public static List<CompletionChoice> getProductName(String text) {
            OpenAi openAi = PARMS.get("OpenAi21");
            return getAiResult(openAi, String.format(openAi.getPrompt(), text));
        }
     
        /**
         * 自动修改代码中的bug
         *
         * @param codeType 语言类型
         * @param code     代码
         * @return
         */
        public static List<CompletionChoice> getBugFixer(String codeType, String code) {
            OpenAi openAi = PARMS.get("OpenAi22");
            return getAiResult(openAi, String.format(openAi.getPrompt(), codeType, code, codeType));
        }
     
        /**
         * 自动为一个表格生成数据
         *
         * @param rows    生成的行数
         * @param headers 数据表头,格式如:姓名| 年龄|性别|生日
         * @return
         */
        public static List<CompletionChoice> getFillData(int rows, String headers) {
            OpenAi openAi = PARMS.get("OpenAi23");
            return getAiResult(openAi, String.format(openAi.getPrompt(), rows, headers));
        }
     
        /**
         * 各种开发语言的两天机器人
      &amp						
    						
    						
    						
    						
    						
    						
    					

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