otopba/chat_gpt_sdk

Flutter ChatGPT

ChatGPT Application with flutter

ChatGPT is a chat-bot launched by OpenAI in November 2022. It is built on top of OpenAI's GPT-3.5 family of large language models, and is fine-tuned with both supervised and reinforcement learning techniques.

Unofficial

"community-maintained” library.

OpenAI Powerful Library Support GPT-4

Features

• Install Package
• Create OpenAI Instance
• Change Access Token
• Complete Text
  • Support Server Sent Event
• Chat Complete GPT-4
  • Support GPT3.5 and GPT-4
  • Support Server Sent Event
  • Support Function Calling
• Error Handle
• Example Q&A
• Generate Image With Prompt
• Editing
• Cancel Generate
• File
• Audio
• Embedding
• Fine-Tune
  • Support Server Sent Event
• Moderations
• Model And Engine
• Translate Example
• Video Tutorial
• Docs

Install Package

chat_gpt_sdk: 2.2.0

Create OpenAI Instance

• Parameter
  • Token
    • Your secret API keys are listed below. Please note that we do not display your secret API keys again after you generate them.
    • Do not share your API key with others, or expose it in the browser or other client-side code. In order to protect the security of your account, OpenAI may also automatically rotate any API key that we've found has leaked publicly.
    • https://beta.openai.com/account/api-keys
• OrgId
  • Identifier for this organization sometimes used in API requests
  • https://beta.openai.com/account/org-settings

final openAI = OpenAI.instance.build(token: token,baseOption: HttpSetup(receiveTimeout: const Duration(seconds: 5)),enableLog: true);

Change Access Token

openAI.setToken('new-access-token');
///get toekn
openAI.token;

Complete Text

• Text Complete API

  • Translate Method
    • translateEngToThai
    • translateThaiToEng
    • translateToJapanese
  • Model
    • kTranslateModelV3
    • kTranslateModelV2
    • kCodeTranslateModelV2
      • Translate natural language to SQL queries.
      • Create code to call the Stripe API using natural language.
      • Find the time complexity of a function.
  • https://beta.openai.com/examples

• Complete with Feature

  void _translateEngToThai() async{
  final request = CompleteText(
          prompt: translateEngToThai(word: _txtWord.text.toString()),
          maxToken: 200,
          model: TextDavinci3Model());

  final response = await openAI.onCompletion(request: request);
  
  ///cancel request
  openAI.cancelAIGenerate();
  print(response);
}

• Complete with FutureBuilder

Future<CTResponse?>? _translateFuture;

_translateFuture = openAI.onCompletion(request: request);

///ui code
FutureBuilder<CTResponse?>(
 future: _translateFuture,
 builder: (context, snapshot) {
   final data = snapshot.data;
   if(snapshot.connectionState == ConnectionState.done) return something 
   if(snapshot.connectionState == ConnectionState.waiting) return something
   return something
})

• GPT-3 with SSE

 void completeWithSSE() {
  final request = CompleteText(
          prompt: "Hello world", maxTokens: 200, model: TextDavinci3Model());
  openAI.onCompletionSSE(request: request).listen((it) {
    debugPrint(it.choices.last.text);
  });
}

Chat Complete (GPT-4 and GPT-3.5)

• GPT-4

  void chatComplete() async {
    final request = ChatCompleteText(messages: [
      Map.of({"role": "user", "content": 'Hello!'})
    ], maxToken: 200, model: Gpt4ChatModel());

    final response = await openAI.onChatCompletion(request: request);
    for (var element in response!.choices) {
      print("data -> ${element.message?.content}");
    }
  }

• GPT-4 with SSE(Server Send Event)

 void chatCompleteWithSSE() {
  final request = ChatCompleteText(messages: [
    Map.of({"role": "user", "content": 'Hello!'})
  ], maxToken: 200, model: Gpt4ChatModel());

  openAI.onChatCompletionSSE(request: request).listen((it) {
    debugPrint(it.choices.last.message?.content);
  });
}

• Support SSE(Server Send Event)
  • GPT-3.5 Turbo

 void chatCompleteWithSSE() {
  final request = ChatCompleteText(messages: [
    Map.of({"role": "user", "content": 'Hello!'})
  ], maxToken: 200, model: GptTurboChatModel());

  openAI.onChatCompletionSSE(request: request).listen((it) {
    debugPrint(it.choices.last.message?.content);
  });
}

• Chat Complete

  void chatComplete() async {
    final request = ChatCompleteText(messages: [
      Map.of({"role": "user", "content": 'Hello!'})
    ], maxToken: 200, model: GptTurbo0301ChatModel());

    final response = await openAI.onChatCompletion(request: request);
    for (var element in response!.choices) {
      print("data -> ${element.message?.content}");
    }
  }

• Chat Complete Function Calling

///work only with gpt-turbo-0613,gpt-4-0613
  void gptFunctionCalling() async {
  final request = ChatCompleteText(
          messages: [
            Messages(
                    role: Role.user, content: "What is the weather like in Boston?"),
          ],
          maxToken: 200,
          model: GptTurbo0631Model(),
          functions: [
            FunctionData(
                    name: "get_current_weather",
                    description: "Get the current weather in a given location",
                    parameters: {
                      "type": "object",
                      "properties": {
                        "location": {
                          "type": "string",
                          "description": "The city and state, e.g. San Francisco, CA"
                        },
                        "unit": {
                          "type": "string",
                          "enum": ["celsius", "fahrenheit"]
                        }
                      },
                      "required": ["location"]
                    })
          ],
          functionCall: FunctionCall.auto);

  ChatCTResponse? response = await openAI.onChatCompletion(request: request);
}

Error Handle

///using catchError
 openAI.onCompletion(request: request)
    .catchError((err){
      if(err is OpenAIAuthError){
        print('OpenAIAuthError error ${err.data?.error?.toMap()}');
      }
      if(err is OpenAIRateLimitError){
        print('OpenAIRateLimitError error ${err.data?.error?.toMap()}');
      }
      if(err is OpenAIServerError){
        print('OpenAIServerError error ${err.data?.error?.toMap()}');
      }
      });

///using try catch
 try {
   await openAI.onCompletion(request: request);
 } on OpenAIRateLimitError catch (err) {
   print('catch error ->${err.data?.error?.toMap()}');
 }

///with stream
 openAI
        .onCompletionSSE(request: request)
        .transform(StreamTransformer.fromHandlers(
          handleError: (error, stackTrace, sink) {
              if (error is OpenAIRateLimitError) {
              print('OpenAIRateLimitError error ->${error.data?.message}');
              }}))
        .listen((event) {
          print("success");
        });

Q&A

• Example Q&A
  • Answer questions based on existing knowledge.

final request = CompleteText(prompt:'What is human life expectancy in the United States?'),
                model: TextDavinci3Model(), maxTokens: 200);

 final response = await openAI.onCompletion(request:request);

• Request

Q: What is human life expectancy in the United States?

• Response

A: Human life expectancy in the United States is 78 years.

Generate Image With Prompt

• Generate Image

  • prompt
    • A text description of the desired image(s). The maximum length is 1000 characters.
  • n
    • The number of images to generate. Must be between 1 and 10.
  • size
    • The size of the generated images. Must be one of 256x256, 512x512, or 1024x1024.
  • response_format
    • The format in which the generated images are returned. Must be one of url or b64_json.
  • user
    • A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse.

• Generate with feature

  void _generateImage() {
  const prompt = "cat eating snake blue red.";

  final request = GenerateImage(prompt, 1,size: ImageSize.size256,
          responseFormat: Format.url);
  final response = openAI.generateImage(request);
  print("img url :${response.data?.last?.url}");
}

Edit

• Edit Prompt

void editPrompt() async {
    final response = await openAI.editor.prompt(EditRequest(
        model: CodeEditModel(),
        input: 'What day of the wek is it?',
        instruction: 'Fix the spelling mistakes'));

    print(response.choices.last.text);
  }

• Edit Image

 void editImage() async {
  final response = await openAI.editor.editImage(EditImageRequest(
          image: EditFile("${image?.path}", '${image?.name}'),
          mask: EditFile('file path', 'file name'),
          size: ImageSize.size1024,
          prompt: 'King Snake'));

  print(response.data?.last?.url);
}

• Variations

  void variation() async {
  final request =
  Variation(image: EditFile('${image?.path}', '${image?.name}'));
  final response = await openAI.editor.variation(request);

  print(response.data?.last?.url);
}

Cancel Generate

• Stop Generate Prompt

 _openAI
        .onChatCompletionSSE(request: request, onCancel: onCancel);

///CancelData
CancelData? mCancel;
void onCancel(CancelData cancelData) {
  mCancel = cancelData;
}

mCancel?.cancelToken.cancel("canceled ");

• Stop Edit
  • image
  • prompt

openAI.edit.editImage(request,onCancel: onCancel);

///CancelData
CancelData? mCancel;
void onCancel(CancelData cancelData) {
  mCancel = cancelData;
}

mCancel?.cancelToken.cancel("canceled edit image");

• Stop Embedding

openAI.embed.embedding(request,onCancel: onCancel);

///CancelData
CancelData? mCancel;
void onCancel(CancelData cancelData) {
  mCancel = cancelData;
}

mCancel?.cancelToken.cancel("canceled embedding");

• Stop Audio
  • translate
  • transcript

openAI.audio.transcribes(request,onCancel: onCancel);

///CancelData
CancelData? mCancel;
void onCancel(CancelData cancelData) {
  mCancel = cancelData;
}

mCancel?.cancelToken.cancel("canceled audio transcribes");

• Stop File
  • upload file
  • get file
  • delete file

openAI.file.uploadFile(request,onCancel: onCancel);

///CancelData
CancelData? mCancel;
void onCancel(CancelData cancelData) {
  mCancel = cancelData;
}

mCancel?.cancelToken.cancel("canceled uploadFile");

File

• Get File

void getFile() async {
  final response = await openAI.file.get();
  print(response.data);
}

• Upload File

void uploadFile() async {
  final request = UploadFile(file: EditFile('file-path', 'file-name'),purpose: 'fine-tune');
  final response = await openAI.file.uploadFile(request);
  print(response);
}

• Delete File

  void delete() async {
  final response = await openAI.file.delete("file-Id");
  print(response);
}

• Retrieve File

  void retrieve() async {
  final response = await openAI.file.retrieve("file-Id");
  print(response);
}

• Retrieve Content File

  void retrieveContent() async {
  final response = await openAI.file.retrieveContent("file-Id");
  print(response);
}

Audio

• Audio Translate

void audioTranslate() async {
  final mAudio = File('mp3-path');
  final request =
  AudioRequest(file: EditFile(mAudio.path, 'name'), prompt: '...');

  final response = await openAI.audio.translate(request);
}

• Audio Transcribe

void audioTranscribe() async {
  final mAudio = File('mp3-path');
  final request =
  AudioRequest(file: EditFile(mAudio.path, 'name'), prompt: '...');

  final response = await openAI.audio.transcribes(request);
}

Embedding

• Embedding

void embedding() async {
  final request = EmbedRequest(
          model: TextSearchAdaDoc001EmbedModel(),
          input: 'The food was delicious and the waiter');

  final response = await openAI.embed.embedding(request);

  print(response.data.last.embedding);
}

Fine Tune

• Create Fine Tune

void createTineTune() async {
  final request = CreateFineTune(trainingFile: 'The ID of an uploaded file');
  final response = await openAI.fineTune.create(request);
}

• Fine Tune List

 void tineTuneList() async {
    final response = await openAI.fineTune.list();
  }

• Fine Tune List Stream (SSE)

 void tineTuneListStream() {
    openAI.fineTune.listStream('fineTuneId').listen((it) {
      ///handled data
    });
  }

• Fine Tune Get by Id

void tineTuneById() async {
    final response = await openAI.fineTune.retrieve('fineTuneId');
  }

• Cancel Fine Tune

  void tineTuneCancel() async {
    final response = await openAI.fineTune.cancel('fineTuneId');
  }

• Delete Fine Tune

 void deleteTineTune() async {
    final response = await openAI.fineTune.delete('model');
  }

Moderations

• Create Moderation

  void createModeration() async {
  final response = await openAI.moderation
          .create(input: 'input', model: TextLastModerationModel());
}

Model&Engine

• Model List
  • List and describe the various models available in the API. You can refer to the Models documentation to understand what models are available and the differences between them.
  • https://beta.openai.com/docs/api-reference/models

final models = await openAI.listModel();

• Engine List
  • Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability.
  • https://beta.openai.com/docs/api-reference/engines

final engines = await openAI.listEngine();

Translate App

ChatGPT Demo App

Video Tutorials

• Flutter Chat bot

• Flutter Generate Image

Docs (Support Thai.)