ChatGPT AI App in Flutter

ChatGPT AI App in 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.

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: 2.2.4

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?",name: "get_current_weather"),
          ],
          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 256×256, 512×512, or 1024×1024.
- 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

Learn more about chatgpt project. click here

Credit

This project is developed by redevrx
Download this project from the below link.
https://github.com/redevrx/chat_gpt_sdk/archive/refs/heads/main.zip
You can visit original source page from the below link:
https://github.com/redevrx/chat_gpt_sdk

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ChatGPT AI App in Flutter

Unofficial

Features

Install Package

Create OpenAI Instance

Change Access Token

Complete Text

Chat Complete (GPT-4 and GPT-3.5)

Error Handle

Q&A

Generate Image With Prompt

Edit

Cancel Generate

File

Audio

Embedding

Fine Tune

Moderations

Model&Engine

Translate App

ChatGPT Demo App

Credit

This Post Has One Comment

Leave a Reply Cancel reply

Unofficial

Features

Install Package

Create OpenAI Instance

Change Access Token

Complete Text

Chat Complete (GPT-4 and GPT-3.5)

Error Handle

Q&A

Generate Image With Prompt

Edit

Cancel Generate

File

Audio

Embedding

Fine Tune

Moderations

Model&Engine

Translate App

ChatGPT Demo App

Credit

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This Post Has One Comment

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