JavaのOpenAI APIライブラリのopenai-javaを使ってみます。
機能の確認が主目的なのでコードのきれいさなどはあまり推敲できてません。
参考：OpenAI APIリファレンスhttps://platform.openai.com/docs/api-reference
ライブラリのインポート
pom.xml
<dependency>
<groupId>com.theokanning.openai-gpt3-java</groupId>
<artifactId>service</artifactId>
<version>0.14.0</version>
</dependency>
文章補完
与えた文章から、その続きを補完した文章を生成してくれます。
public class App {
public static void main(String[] args) {
var service = new OpenAiService("Your Openai API Key"); // ご自身のキーに書き換えてください
chatGptCompletion(service, "Somebody once told me the world is gonna roll me");
}
static void chatGptCompletion(OpenAiService service, String message) {
var completionRequest = CompletionRequest.builder()
.prompt(message)
.model("ada")
.echo(true)
.build();
service.createCompletion(completionRequest)
.getChoices()
.stream()
.map(CompletionChoice::getText)
.forEach(System.out::println);
}
}
出力
Somebody once told me the world is gonna roll me over. It sure is [tweaking] right now.
When
チャット対話
ChatGPTのように対話をします。
前の回答までの会話の文脈を考慮します。（今までの質問内容を繰り返し再投稿するので会話が長引くと使用料金が嵩みそうです）
返ってきたトークンごとに逐次的に画面出力するようにしてます。
「おわり」と入力すると会話を終了します。
public class App {
public static void main(String[] args) {
var service = new OpenAiService("Your Openai API Key"); // ご自身のキーに書き換えてください
chatGptChatStart(service);
service.shutdownExecutor();
}
static void chatGptChatStart(OpenAiService service) {
try (Scanner scan = new Scanner(System.in)) {
List<ChatMessage> chatMessages = new ArrayList<>();
chatMessages.add(new ChatMessage(ChatMessageRole.SYSTEM.value(), "あなたは便利なアシスタントです"));
while (true) {
System.out.println("質問を入力してください");
String userMsg = scan.nextLine();
if (userMsg.equals("おわり")) return;
System.out.println();
chatMessages.add(new ChatMessage(ChatMessageRole.USER.value(), userMsg));
String replyMsg = chatGptChatStream(service, chatMessages);
chatMessages.add(new ChatMessage(ChatMessageRole.ASSISTANT.value(), replyMsg));
}
}
}
static String chatGptChatStream(OpenAiService service, List<ChatMessage> chatMessages) {
var chatCompletionRequest = ChatCompletionRequest.builder()
.messages(chatMessages)
.model("gpt-3.5-turbo")
.stream(true)
.build();
String replyMsg = service.streamChatCompletion(chatCompletionRequest)
.map(ChatCompletionChunk::getChoices)
.flatMap(Flowable::fromIterable)
.filter(choice -> choice.getIndex() == 0)
.takeWhile(choice -> !"stop".equals(choice.getFinishReason()))
.map(ChatCompletionChoice::getMessage)
.filter(chatMessage -> chatMessage.getContent() != null)
.map(ChatMessage::getContent)
.doOnNext(System.out::print)
.collect(StringBuilder::new, StringBuilder::append)
.map(StringBuilder::toString)
.blockingGet();
System.out.println("\n");
return replyMsg;
}
}
出力
質問を入力してください
こんにちは
こんにちは！何かお手伝いできることがありますか？
質問を入力してください
javaとは何ですか？
Javaは、オブジェクト指向プログラミング言語であり、1995年にサン・マイクロシステムズによって開発されました。Javaは、一般的なアプリケーションソフトウェア
やWebアプリケーション、Androidアプリケーションなど、様々な目的で使用されます。
Javaは、プログラマがコンピュータで動作するプログラムを開発する際に使用できる、豊富なクラスライブラリーを提供しています。また、Javaの特徴の一つとして、
プログラムが様々なプラットフォームで動作し、Java仮想マシン（JVM）上で実行されるため、プログラムが特定のプラットフォームに依存しないことが挙げられます
。
質問を入力してください
先ほどの回答をもう少し短い文章に要約してください。
Javaは、オブジェクト指向プログラミング言語であり、サン・マイクロシステムズによって開発され、様々なプラットフォームで動作することができます。豊富なクラ
スライブラリーを提供し、一般的なアプリケーションやWebアプリケーション、Androidアプリケーションの開発に使用されます。
質問を入力してください
おわり
画像生成
テキスト to 画像
入力テキストから画像を生成してくれます。
生成モデルはDALL-Eを使用します。
public class ImageApp {
public static void main(String[] args) {
var service = new OpenAiService("Your Openai API Key"); // ご自身のキーに書き換えてください
createImage(service, "かわいい子猫");
}
static void createImage(OpenAiService service, String prompt) {
var imgRequest = CreateImageRequest.builder()
.prompt(prompt)
.n(2)
.size("256x256")
.responseFormat("url")
.build();
service.createImage(imgRequest)
.getData()
.stream()
.map(Image::getUrl)
.forEach(System.out::println);
}
}
出力
https://oaidalleapiprodscus.blob.core.windows.net/private/org-Cyn1sCatifBlvU9j7FymRFuh/user-uOUXOKLjf9RDKUUa8QrBvIk8/img-pPD8fFXeyBmBBAWC8drygAH1.png?st=2023-07-03T11%3A44%3A43Z&se=2023-07-03T13%3A44%3A43Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2023-07-02T20%3A31%3A30Z&ske=2023-07-03T20%3A31%3A30Z&sks=b&skv=2021-08-06&sig=NoohiYpEBKX5rYnJ4gQR9dPawuB4w/bKRbc5Tfyc5j0%3D
https://oaidalleapiprodscus.blob.core.windows.net/private/org-Cyn1sCatifBlvU9j7FymRFuh/user-uOUXOKLjf9RDKUUa8QrBvIk8/img-Fg18hYkhTnrD6mPIVMQP6Dx6.png?st=2023-07-03T11%3A44%3A43Z&se=2023-07-03T13%3A44%3A43Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2023-07-02T20%3A31%3A30Z&ske=2023-07-03T20%3A31%3A30Z&sks=b&skv=2021-08-06&sig=A88QG1gIrJd7ttACciBOqYCbTFV%2BWmRBjakZZcAH5To%3D
出力画像
画像 to 画像
入力画像から、それに似た別の画像を生成してくれます。
ライブラリの問題か、出力画像サイズを1024x1024の時にタイムアウトエラーになるときがありました。
public class ImageApp {
public static void main(String[] args) {
var service = new OpenAiService("Your Openai API Key"); // ご自身のキーに書き換えてください
variateImage(service, "img-36cA7HsodtiTuqxCfLCcNs8h_alpha.png");
}
static void variateImage(OpenAiService service, String image) {
var variateImgRequest = CreateImageVariationRequest.builder()
.size("256x256")
.responseFormat("url")
.build();
service.createImageVariation(variateImgRequest, image)
.getData()
.stream()
.map(Image::getUrl)
.forEach(System.out::println);;
}
}
出力
https://oaidalleapiprodscus.blob.core.windows.net/private/org-Cyn1sCatifBlvU9j7FymRFuh/user-uOUXOKLjf9RDKUUa8QrBvIk8/img-ya4HCwPCKcMCVHo8TEr2ystt.png?st=2023-07-03T11%3A52%3A40Z&se=2023-07-03T13%3A52%3A40Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2023-07-02T20%3A32%3A04Z&ske=2023-07-03T20%3A32%3A04Z&sks=b&skv=2021-08-06&sig=U6rUWXdkhVIC1WRTMn0inTV5%2BFdGPo1Oa%2BXyPkteJe0%3D
入力画像
出力画像
音声テキスト抽出
音声ファイルを入力すると、その音声での発言内容をテキストにしてくれます。
生成モデルはwhisper-1を使用します。
似た機能として抽出テキストを英語に翻訳したものを出力してくれるAPIもありました。
public class AudioApp {
public static void main(String[] args) {
var service = new OpenAiService("Your Openai API Key"); // ご自身のキーに書き換えてください
System.out.println("抽出テキスト：" + transcriptAudio(service, "レコーディング.m4a"));
System.out.println();
System.out.println("抽出テキストを英語に翻訳：" + translateAudio(service, "レコーディング.m4a"));
}
static String transcriptAudio(OpenAiService service, String filePath) {
var transcriptionRequest = CreateTranscriptionRequest.builder()
.model("whisper-1")
.build();
return service.createTranscription(transcriptionRequest, filePath)
.getText();
}
static String translateAudio(OpenAiService service, String filePath) {
var translateRequest = CreateTranslationRequest.builder()
.model("whisper-1")
.build();
return service.createTranslation(translateRequest, filePath)
.getText();
}
}
入力した音声ファイルは「こんにちは DX戦2グループの三浦弘太郎です よろしくお願いします」と私が話したのを録音したファイルです。
出力
抽出テキスト：こんにちは DX1000IIグループの三浦幸太郎です よろしくお願いします
抽出テキストを英語に翻訳：Hello, I'm Kotaro Miura from DX-1000II group. Nice to meet you.
Embeddings
テキストをベクトルデータに埋め込みます。
このデータはベクターデータベースなどに格納して全文検索やレコメンデーションなどに使えるそうです。
テキストのトークン数も出力してくれました。
埋め込みモデルはtext-embedding-ada-002を使用します。
public class EmbeddingApp {
public static void main(String[] args) {
var service = new OpenAiService("Your Openai API Key"); // ご自身のキーに書き換えてください
var embdReq = EmbeddingRequest.builder()
.model("text-embedding-ada-002")
.input(List.of("チャットボット", "豆蔵のMZbot"))
.build();
EmbeddingResult res = service.createEmbeddings(embdReq);
System.out.println("ベクトル一覧");
res.getData().stream().map(Embedding::getEmbedding).forEach(System.out::println);
System.out.println();
Usage usage = res.getUsage();
System.out.println("プロンプトトークン：" + usage.getPromptTokens() + "、合計トークン：" + usage.getTotalTokens());
}
}
出力
ベクトル一覧
[-0.03690111, -0.017665999, -0.0046227835, 0.009292911, 0.011822422, 0.005586568, -0.0154476045, -0.002477095, -0.0017263577, -0.014365461, -0.01265432, 0.014947113, -0.010523849, -0.009881327, -0.017341357, -0.0016096891, 0.0068783774, -3.4303116E-4, 0.038389057, -0.029786011, 0.01529881, 0.02057426, 0.009333491, -0.011146083, -0.017260196, -0.01951917, 0.015285282, -0.03849727, -0.0059889904, -0.0044334084, 0.027838152, -0.018612875, -0.010496796, -0.015122961, -0.019045733, -0.010097755, 0.0029150252, 0.010997288, 0.019356849, 0.0094958125, 0.03149039, 0.0072706547, 0.012397312, 0.005901066, -0.028135741, 0.0154205505, -0.030732887, 2.390439E-4, 0.0054580634, 0.0052653067, 0.0048797927, 0.003794267, -0.030868156, -0.0039396803, 0.007845543, 0.011105502, -0.007926704, 0.014378987, 7.363651E-4, -0.0046464554, 0.007832017, 0.011457198, -0.0285686, 0.015285282, -0.0028998074, 0.003537258, -0.024010068, 0.014717157, -0.0018109002, -0.010976997, 0.007074516, 0.018694036, 0.018829305, -0.03993111, 0.039200664, 0.02053368, -0.018369393, 0.0036894344, 0.0016088437, -0.009056192, 0.018491134, -0.003368173, 0.018666983, -0.014852425, 0.018031223, 0.0039126268, 2.8585931E-5, 0.01774716, 0.0031145455, -0.017260196, 0.012086195, 0.0065976963, -3.0562113E-4, 0.019870868, -0.0060735326, 0.0017939917,
-0.005248398, 0.0293261, 0.006442138, -0.030245923, 0.0034628606, -0.009854273, -0.046369866, -0.0030519841, -0.025159847, 0.013323897, 0.023184933, 0.00851512, 0.010456216, -0.003095946, -0.00662475, 0.046261653, -0.0050488776, -0.032437265, -0.025552124, -0.0084880665, 0.020980066, -0.0140408175, -0.026066141, -0.03706343, 0.0024838585, 0.016421534, 0.011592466, -0.018450554, 0.030570565, 0.023550157, -0.029515475, -9.147498E-4, 0.0027899023, 9.790021E-4, 0.023955962, -0.01744957, 0.027053598, 0.005495262, -0.015082381, 0.012958674, -0.028785028, 0.007771146, -0.017057294, 0.0015065472, 0.009691952, 0.030272976, -0.01130164, 0.0021981047, -0.004582203, 0.023590738, 0.018437026, 0.008893871, 0.019248635, 0.0184235, 0.013492982, -0.016367426, 0.021250602, 0.0018379538, 0.007960522, 0.012431128, 0.023780113, 0.020682476, 0.0013180175, -0.022332745, -0.012282333, 0.016408008, 0.01905926, -0.023009084, 0.015434078, 0.03046235, -0.013547089, 0.015190595, 9.828065E-5, 0.0044198814, -0.0139596565, 0.015271756, -0.0019224962, 0.013662067, -0.0054208646, 0.0042305063, -0.0070204088, -0.0054343916, -5.228953E-4, -0.0147577375, -0.04052629, -0.017354883, -0.00957021, 0.0078252535, 0.0031517441, -0.0043657743, -0.0054141013, -0.0014617398, 0.021521138, -0.002872754, 0.024997525, 0.03941709, 0.018450554, -0.0075750076, -0.6324049, -0.035927176, 0.0026546342, 0.012174119, 0.0056812554, 0.01732783, -0.0046599824, 0.008095789, -0.02116944, 0.021372342, -0.012789588, 0.015244703, -0.013168339, -0.005089458, 0.019153947, -0.0071759666, 0.01191711, -0.023577211, 0.012498762, 0.012863986, -0.013317133, 0.01201856, -0.031084584, 6.742264E-4, -0.016462114, -0.013229209, 0.011423382, 0.011673627, -0.008298691, 0.0085692275, -0.023563683, 0.025038105, 0.014460148, -0.03625182, 0.059085056, 0.0044435533, -0.027040072, 0.024983998, -0.0036961979, 0.01981676, -0.03549432, -0.033330034, 0.0069223396, 0.0045450046, 0.010273604, -0.008738312, 0.004991389, -0.026972437, -0.01086202, -0.011362511, -0.0015868626, -0.011484252, 0.021142386, -0.008393379, 0.017720107, 0.00616822, 0.0360895, -0.016218632, 9.325037E-4, -0.010557666, -0.016637962, 0.007967285, -0.02598498, -0.021331763, -0.014433094, 0.006546971, -0.013810862, -0.013729701,
0.009448469, -0.009407889, 0.0040580397, -0.013919076, 0.0034611698, 0.005035351, 0.016340373, 0.031165745, 0.024321185, -0.016962606, -0.011206953, 0.012140302, -0.0029691323, -0.007223311, -0.0055730413, -0.008244584, 0.02070953, -0.014027291, -0.043718614, -0.015772248, 0.009022375, 0.0052619246, 0.011193426, 0.03511557, -0.024023594, -0.010577957, -0.0129722, 0.0019208054, -0.012424365, -0.005508789, -0.0018903702, -0.012823406, -0.0074059223, -0.0051232753, 0.029488422, 0.032301996, 0.019289216, -0.0019444773, -0.03397932, 0.009482286, 0.013432112, -0.009901617, 0.016556801, 0.010138336, 0.005529079, -0.03338414, 0.01229586, -0.025795605, 0.025119266, -0.0047681965, 0.022697968, -0.024199443, 0.028785028, -0.018477608, 0.0147036305,
0.0038348476, 0.005437773, 0.013486219, 2.4749816E-4, -0.012559633, 0.0062629078, 0.008663915, 2.4284831E-4, -0.020398414, 0.00921175, -0.0089412145, 0.024064176, -0.0063237785, 0.018152963, -0.009637844, 0.008623335, 0.0053464673, -0.0121808825, -0.011720971, 0.0069020493, 0.006533444, -0.016624436, -0.033302978, 0.004260942, 0.0039227717, -0.015582873, 0.014730684, 0.020777164, -0.0012596832, 0.0015276829, 0.029055564, 0.0047343797, -0.019208055, -0.016123945, -0.0139596565, 0.008562463, -0.016962606, 0.010030122, -0.0028101925, 0.0055798045, 0.0054208646, -0.015122961, 5.99829E-4, -0.018666983, 0.017422518, -0.017057294, -0.030327084, 0.0032058514, -0.0056102397, -0.006881759, 0.009921907, 0.0066484218, 0.0047343797, -0.008542174, -0.006181747, 0.0075952974, -0.017598366, -0.0020205656, 0.031111637, -0.0032684128, -0.022954978, 0.019627385, -0.0019174238, 0.023671899, 0.022386853, -0.015028274, 0.005241635, -0.015461131, 0.020668948, 0.007128623, 0.019857341, 0.033194765, 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プロンプトトークン：14、合計トークン：14
文章校正
入力テキストに対して、指示した内容に従って修正してくれます。
モデルはtext-davinci-edit-001を使用します。
public class EditsApp {
public static void main(String[] args) {
var service = new OpenAiService("Your Openai API Key", Duration.ofSeconds(20));
var editReq = EditRequest.builder()
.model("text-davinci-edit-001")
.input("OpenI（オープンエーアイ、オプンAI）とは、鋭利法人OpenAI LPとその親会社である非営利法人OpenAI Inc. からなるアメリカの人工知（AI）の開発を行っている企業である")
.instruction("誤字脱字を修正して")
.build();
EditResult editResult = service.createEdit(editReq);
System.out.println(editResult.getChoices()
.get(0)
.getText());
Usage usage = editResult.getUsage();
System.out.println("プロンプトトークン：" + usage.getPromptTokens() + "、補完トークン：" + usage.getCompletionTokens() + "、合計トークン：" + usage.getTotalTokens());
}
}
出力
OpenI（オープンエーアイ、オプンAI）とは、鋭利法人OpenAI LPとその親会社である非営利法人OpenAI Inc. からなるアメリカの人工知能（AI）の開発を行っている企業である
OpenI は、人工知能に関する内部の構想、潜在的な技術、研究成果に関し著作権や特許を申請しないことを考慮し建物、営業ユニットや個人的な資産は登録していない。
プロンプトトークン：136、補完トークン：362、合計トークン：498
理由はよく分かりませんが誤字脱字の修正はあまり正確ではありませんでした。
プログラムコード校正
上と同じAPIで、プログラムソースコードの修正が得意なcode-davinci-edit-001というモデルを利用します。
コメントやテストの追加、別言語への変換などしてくれると助かりますね。
public class EditsApp {
public static void main(String[] args) {
var service = new OpenAiService("Your Openai API Key", Duration.ofSeconds(20));
var editReq = EditRequest.builder()
.model("code-davinci-edit-001")
.input(
"""
public class HelloWorld {
public static void main(String[] args) {
System.out.println("Hello, World!");
}
}
"""
)
.instruction("JavaDocを追加して")
.build();
EditResult editResult = service.createEdit(editReq);
System.out.println(editResult.getChoices()
.get(0)
.getText());
Usage usage = editResult.getUsage();
System.out.println("プロンプトトークン：" + usage.getPromptTokens() + "、補完トークン：" + usage.getCompletionTokens() + "、合計トークン：" + usage.getTotalTokens());
}
}
出力
/**
* HelloWorldのクラスです。
*
* @author taguchi
* @author suzuki
* @since 1.0
*/
public class HelloWorld {
public static void main(String[] args) {
System.out.println("Hello, World!");
}
}
プロンプトトークン：56、補完トークン：52、合計トークン：108
入力テキストなしで指示文だけでも送れるそうなので試してみます。
public class EditsApp {
public static void main(String[] args) {
var service = new OpenAiService("Your Openai API Key", Duration.ofSeconds(20));
var editReq = EditRequest.builder()
.model("code-davinci-edit-001")
.instruction("Rust言語のHelloWorldプログラム")
.build();
EditResult editResult = service.createEdit(editReq);
System.out.println(editResult.getChoices()
.get(0)
.getText());
Usage usage = editResult.getUsage();
System.out.println("プロンプトトークン：" + usage.getPromptTokens() + "、補完トークン：" + usage.getCompletionTokens() + "、合計トークン：" + usage.getTotalTokens());
}
}
出力
// File : file.rs
// Author : Rahul Chadha
// Creation Date: 23 Dec. 2016
// Hello World in Rust
fn main() {
println!("Hello, Global World!");
}
プロンプトトークン：25、補完トークン：69、合計トークン：94