Heim >Java >javaLernprogramm >So integrieren Sie chatGPT in SpringBoot
So integrieren Sie chatGPT in SpringBoot
- WBOYnach vorne
- 2023-05-15 18:07:181957Durchsuche
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\nA:", 0.0, 1.0, 1.0, 0.0, 0.0, "\n"));
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:\n%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", "\"\"\"\nUtil exposes the following:\nutil.openai() -> authenticates & returns the openai module, which has the following functions:\nopenai.Completion.create(\n prompt=\"<my prompt>\", # The prompt to start completing from\n max_tokens=123, # The max number of tokens to generate\n temperature=1.0 # A measure of randomness\n echo=True, # Whether to return the prompt in addition to the generated completion\n)\n\"\"\"\nimport util\n\"\"\"\n%s\n\"\"\"\n\n", 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:\n\nExample: Ask Constance if we need some bread\nOutput: send-msg `find constance` Do we need some bread?\n\n%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:\n%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", "\"\"\"\nUtil exposes the following:\n\nutil.stripe() -> authenticates & returns the stripe module; usable as stripe.Charge.create etc\n\"\"\"\nimport util\n\"\"\"\n%s\n\"\"\"", 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:\n%s\n#\n### %s\n %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:\n%s\n", 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\n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 \n %s \n\n# 解释代码作用\n\n#", 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。\n%s：", 0.8, 1.0, 1.0, 0.0, 0.0, "\n"));
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\n\"\"\"\n函数的时间复杂度是", 0.0, 1.0, 1.0, 0.0, 0.0, "\n"));
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\n### %s\n \n %s\n \n### %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:\n%s\"\n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:\n%s\n\"\"\"\n上面的代码在做什么:\n1. ", 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:\n%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\nA: ?", 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：\n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.\n种子词: %s.\n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\nTl;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\n### %s\n %s\n### %s\n", 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:\n%s\n", 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\n%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\nML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.\n文本: \"%s\"\n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：\n文本：\"%s\"\n航空代码：", 0.0, 1.0, 1.0, 0.0, 0.0, "\n"));
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:\n%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:\n%s:%s\n\n%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\n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:\nbackground-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\n \n%s\n# 上述代码的详细、高质量文档字符串：\n\"\"\"", 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:\n%s:\n", 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:\n%s\n%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\n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):\n%s\n", 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：\n%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:\\n\\n\\\"%s\"\\n\\nESRB rating:", 0.3, 1.0, 1.0, 0.0, 0.0, "\n"));
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:\n%s\n成分:\n%s\n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.\nYou:%s\nMarv:", 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: \n%s\n", 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:\n%s\n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）：\n", 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("\n");
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("\n");
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
*
* @param question 你的问题
* @param programmingLanguages 语言 比如Java JavaScript
* @return
*/
public static List<CompletionChoice> getProgrammingLanguageChatbot(String question, String programmingLanguages) {
OpenAi openAi = PARMS.get("OpenAi24");
return getAiResult(openAi, String.format(openAi.getPrompt(), question, programmingLanguages));
}
/**
* 机器学习模型方面的机器人
*
* @param question 你的问题
* @return
*/
public static List<CompletionChoice> getMLChatbot(String question) {
OpenAi openAi = PARMS.get("OpenAi25");
return getAiResult(openAi, String.format(openAi.getPrompt(), question));
}
/**
* 可以列出各方面的分类列表，比如歌单
*
* @param text 清单描述
* @return
*/
public static List<CompletionChoice> getListMaker(String text) {
OpenAi openAi = PARMS.get("OpenAi26");
return getAiResult(openAi, String.format(openAi.getPrompt(), text));
}
/**
* 对一段文字进行情绪分析
*
* @param text
* @return
*/
public static List<CompletionChoice> getTweetClassifier(String text) {
OpenAi openAi = PARMS.get("OpenAi27");
return getAiResult(openAi, String.format(openAi.getPrompt(), text));
}
/**
* 抽取文本中的航空代码信息
*
* @param text
* @return
*/
public static List<CompletionChoice> getAirportCodeExtractor(String text) {
OpenAi openAi = PARMS.get("OpenAi28");
return getAiResult(openAi, String.format(openAi.getPrompt(), text));
}
/**
* 无上下文，语句描述生成SQL
*
* @param text
* @return
*/
public static List<CompletionChoice> getSQL(String text) {
OpenAi openAi = PARMS.get("OpenAi29");
return getAiResult(openAi, String.format(openAi.getPrompt(), text));
}
/**
* 从文本中抽取联系方式
*
* @param extractContent 抽取内容描述
* @param text
* @return 从下面文本中抽取邮箱和电话:\n教育行业A股IPO第一股（股票代码 003032）\n全国咨询/投诉热线：400-618-4000 举报邮箱:mc@itcast.cn
*/
public static List<CompletionChoice> getExtractContactInformation(String extractContent, String text) {
OpenAi openAi = PARMS.get("OpenAi30");
return getAiResult(openAi, String.format(openAi.getPrompt(), extractContent, text));
}
/**
* 把一种语言转成另外一种语言代码
*
* @param fromCodeType 当前代码类型
* @param toCodeType 转换的代码类型
* @param code
* @return
*/
public static List<CompletionChoice> getTransformationCode(String fromCodeType, String toCodeType, String code) {
OpenAi openAi = PARMS.get("OpenAi31");
return getAiResult(openAi, String.format(openAi.getPrompt(), fromCodeType, toCodeType, fromCodeType, code, toCodeType));
}
/**
* 模仿好友聊天
*
* @param question
* @return
*/
public static List<CompletionChoice> getFriendChat(String question) {
OpenAi openAi = PARMS.get("OpenAi32");
return getAiResult(openAi, String.format(openAi.getPrompt(), question));
}
/**
* 依据描述生成对应颜色
*
* @param text
* @return
*/
public static List<CompletionChoice> getMoodToColor(String text) {
OpenAi openAi = PARMS.get("OpenAi33");
return getAiResult(openAi, String.format(openAi.getPrompt(), text));
}
/**
* 自动为程序生成文档
*
* @param codeType 语言
* @param code
* @return
*/
public static List<CompletionChoice> getCodeDocument(String codeType, String code) {
OpenAi openAi = PARMS.get("OpenAi34");
return getAiResult(openAi, String.format(openAi.getPrompt(), codeType, code));
}
/**
* 依据短语生成相关文短
*
* @param text 短语
* @return
*/
public static List<CompletionChoice> getCreateAnalogies(String text) {
OpenAi openAi = PARMS.get("OpenAi35");
return getAiResult(openAi, String.format(openAi.getPrompt(), text));
}
/**
* 把多行代码简单的压缩成一行
*
* @param codeType 语言
* @param code
* @return
*/
public static List<CompletionChoice> getCodeLine(String codeType, String code) {
OpenAi openAi = PARMS.get("OpenAi36");
return getAiResult(openAi, String.format(openAi.getPrompt(), codeType, code, codeType));
}
/**
* 依据一个主题创建一个故事
*
* @param topic 创作主题
* @return
*/
public static List<CompletionChoice> getStory(String topic) {
OpenAi openAi = PARMS.get("OpenAi37");
return getAiResult(openAi, String.format(openAi.getPrompt(), topic));
}
/**
* 第一人称转第3人称
*
* @param text
* @return
*/
public static List<CompletionChoice> getStoryCreator(String text) {
OpenAi openAi = PARMS.get("OpenAi38");
return getAiResult(openAi, String.format(openAi.getPrompt(), text));
}
/**
* 依据笔记生成摘要说明
*
* @param scene 生成的摘要场景
* @param note 记录的笔记
* @return
*/
public static List<CompletionChoice> getNotesToSummary(String scene, String note) {
OpenAi openAi = PARMS.get("OpenAi39");
return getAiResult(openAi, String.format(openAi.getPrompt(), note));
}
/**
* 给定一个主题，让其生成一些主题相关的想法
*
* @param topic 头脑风暴关键词
* @return
*/
public static List<CompletionChoice> getIdeaGenerator(String topic) {
OpenAi openAi = PARMS.get("OpenAi40");
return getAiResult(openAi, String.format(openAi.getPrompt(), topic));
}
/**
* 按照ESRB进行文本分类
*
* @param text 文本
* @return
*/
public static List<CompletionChoice> getESRBRating(String text) {
OpenAi openAi = PARMS.get("OpenAi41");
return getAiResult(openAi, String.format(openAi.getPrompt(), text));
}
/**
* 按照提示为相关内容生成提纲
*
* @param text 场景，比如 数据库软件生成大学毕业论文
* @return
*/
public static List<CompletionChoice> getEssayOutline(String text) {
OpenAi openAi = PARMS.get("OpenAi42");
return getAiResult(openAi, String.format(openAi.getPrompt(), text));
}
/**
* 依据美食名称和材料生成美食的制作步骤
*
* @param name 美食名称
* @param ingredients 美食食材
* @return
*/
public static List<CompletionChoice> getRecipeCreator(String name, List<String> ingredients) {
OpenAi openAi = PARMS.get("OpenAi43");
StringJoiner joiner = new StringJoiner("\n");
for (String ingredient : ingredients) {
joiner.add(ingredient);
}
return getAiResult(openAi, String.format(openAi.getPrompt(), name, joiner.toString()));
}
/**
* 与AI机器进行聊天
*
* @param question
* @return
*/
public static List<CompletionChoice> getAiChatbot(String question) {
OpenAi openAi = PARMS.get("OpenAi44");
return getAiResult(openAi, String.format(openAi.getPrompt(), question));
}
/**
* 与讽刺机器进行聊天，聊天的机器人是一种消极情绪
*
* @param question
* @return
*/
public static List<CompletionChoice> getMarvChatbot(String question) {
OpenAi openAi = PARMS.get("OpenAi45");
return getAiResult(openAi, String.format(openAi.getPrompt(), question));
}
/**
* 把一段文本分解成几步来完成
*
* @param text
* @return
*/
public static List<CompletionChoice> getTurnDirection(String text) {
OpenAi openAi = PARMS.get("OpenAi46");
return getAiResult(openAi, String.format(openAi.getPrompt(), text));
}
/**
* 依据文本内容自动生成点评
*
* @param text
* @return
*/
public static List<CompletionChoice> getReviewCreator(String text) {
OpenAi openAi = PARMS.get("OpenAi47");
return getAiResult(openAi, String.format(openAi.getPrompt(), text));
}
/**
* 可以为学习知识自动解答
*
* @param text
* @return
*/
public static List<CompletionChoice> getStudyNote(String text) {
OpenAi openAi = PARMS.get("OpenAi48");
return getAiResult(openAi, String.format(openAi.getPrompt(), text));
}
/**
* 生成面试题
*
* @param text
* @return
*/
public static List<CompletionChoice> getInterviewQuestion(String text) {
OpenAi openAi = PARMS.get("OpenAi49");
System.out.println(String.format(openAi.getPrompt(), text));
return getAiResult(openAi, String.format(openAi.getPrompt(), text));
}
}2.4 自动配置类OpenAiAutoConfiguration.java
package com.wkf.workrecord.tools.openai;
import org.springframework.boot.context.properties.EnableConfigurationProperties;
import org.springframework.context.annotation.Configuration;
/**
* 自动配置类
* @author wuKeFan
* @date 2023-02-10 15:34:01
*/
@Configuration
@EnableConfigurationProperties(OpenAiProperties.class)
public class OpenAiAutoConfiguration {
}2.5 在resources文件夹下的META-INF/spring.factories文件中增加配置
org.springframework.boot.autoconfigure.EnableAutoConfiguration=com.wkf.workrecord.tools.openai.OpenAiAutoConfiguration
2.6 在yml文件上配置token
openai: token: 你的token timeout: 5000
3 编写测试类
package com.wkf.workrecord.study;
import com.theokanning.openai.completion.CompletionChoice;
import com.wkf.workrecord.tools.openai.OpenAiUtils;
import lombok.extern.slf4j.Slf4j;
import org.junit.jupiter.api.Test;
import org.springframework.boot.test.context.SpringBootTest;
import java.util.List;
/**
* openAi测试类
* @author wuKeFan
* @date 2023-02-10 15:37:01
*/
@Slf4j
@SpringBootTest
public class OpenAiTest {
/**
* openAi接口请求API
*/
@Test
public void test() {
List<CompletionChoice> questionAnswer = OpenAiUtils.getQuestionAnswer("使用SpringBoot框架进行Http请求的详细代码");
for (CompletionChoice completionChoice : questionAnswer) {
System.out.println(completionChoice.getText());
}
List<CompletionChoice> openAiApi = OpenAiUtils.getOpenAiApi("使用SpringBoot框架进行Http请求");
for (CompletionChoice completionChoice : openAiApi) {
System.out.println(completionChoice.getText());
}
}
}4 补充
如果使用上述方法出现超时错误的,可以使用这个方法
4.1 添加依赖
<!-- openAi 最新版依赖 -->
<dependency>
<groupId>com.unfbx</groupId>
<artifactId>chatgpt-java</artifactId>
<version>1.0.6</version>
</dependency>4.2 添加代码
Proxy proxy = new Proxy(Proxy.Type.HTTP, new InetSocketAddress("localhost", 7890));
//日志输出可以不添加
//HttpLoggingInterceptor httpLoggingInterceptor = new HttpLoggingInterceptor(new OpenAILogger());
//httpLoggingInterceptor.setLevel(HttpLoggingInterceptor.Level.BODY);
OpenAiClient openAiClient = OpenAiClient.builder()
.apiKey("sk-***********************************************")
.connectTimeout(50)
.writeTimeout(50)
.readTimeout(50)
.proxy(proxy)
//.interceptor(Collections.singletonList(httpLoggingInterceptor))
.apiHost("https://api.openai.com/")
.build();
CompletionResponse completions = openAiClient.completions("你是openAi吗");
Arrays.stream(completions.getChoices()).forEach(System.out::println);Das obige ist der detaillierte Inhalt vonSo integrieren Sie chatGPT in SpringBoot. Für weitere Informationen folgen Sie bitte anderen verwandten Artikeln auf der PHP chinesischen Website!
Stellungnahme：
Dieser Artikel ist reproduziert unter:yisu.com. Bei Verstößen wenden Sie sich bitte an admin@php.cn löschen
Vorheriger Artikel：So stellen Sie ein Java-Projekt für k8s bereitNächster Artikel：So stellen Sie ein Java-Projekt für k8s bereit