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

chat_gpt_sdk: 3.1.4

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 token
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)

Chat Complete

  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

 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: Gpt41106PreviewChatModel());

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

Chat Complete Function Calling

  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: Gpt41106PreviewChatModel(),
      tools: [
        {
          "type": "function",
          "function": {
            "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"]
            }
          }
        }
      ],
      toolChoice: 'auto',
    );

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

Chat Complete Image Input

  void imageInput() async {
  final request = ChatCompleteText(
    messages: [
      {
        "role": "user",
        "content": [
          {"type": "text", "text": "What’s in this image?"},
          {
            "type": "image_url",
            "image_url": {"url": "image-url"}
          }
        ]
      }
    ],
    maxToken: 200,
    model: Gpt4VisionPreviewChatModel(),
  );

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

Assistants

Create Assistant

  void createAssistant() async {
  final assistant = Assistant(
    model: Gpt4AModel(),
    name: 'Math Tutor',
    instructions:
    'You are a personal math tutor. When asked a question, write and run Python code to answer the question.',
    tools: [
      {
        "type": "code_interpreter",
      }
    ],
  );
  await openAI.assistant.create(assistant: assistant);
}

Create Assistant File

void createAssistantFile() async {
  await openAI.assistant.createFile(assistantId: '',fileId: '',);
}

List assistants

  void listAssistant() async {
  final assistants = await openAI.assistant.list();
  assistants.map((e) => e.toJson()).forEach(print);
}

List assistants files

  void listAssistantFile() async {
  final assistants = await openAI.assistant.listFile(assistantId: '');
  assistants.data.map((e) => e.toJson()).forEach(print);
}

Retrieve assistant

  void retrieveAssistant() async {
  final assistants = await openAI.assistant.retrieves(assistantId: '');
}

Retrieve assistant file

  void retrieveAssistantFiles() async {
  final assistants = await openAI.assistant.retrievesFile(assistantId: '',fileId: '');
}

Modify assistant

  void modifyAssistant() async {
  final assistant = Assistant(
    model: Gpt4AModel(),
    instructions:
    'You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.',
    tools: [
      {
        "type": "retrieval",
      }
    ],
    fileIds: [
      "file-abc123",
      "file-abc456",
    ],
  );
  await openAI.assistant.modifies(assistantId: '', assistant: assistant);
}

Delete assistant

  void deleteAssistant() async {
  await openAI.assistant.delete(assistantId: '');
}

Delete assistant file

  void deleteAssistantFile() async {
  await openAI.assistant.deleteFile(assistantId: '',fileId: '');
}

Using assistant v2

openAI.assistant.v2;

Threads

Create threads

///empty body
  void createThreads()async {
  await openAI.threads.createThread(request: ThreadRequest());
}

///with message
void createThreads() async {
  final request = ThreadRequest(messages: [
    {
      "role": "user",
      "content": "Hello, what is AI?",
      "file_ids": ["file-abc123"]
    },
    {
      "role": "user",
      "content": "How does AI work? Explain it in simple terms."
    },
  ]);

  await openAI.threads.createThread(request: request);
}

Retrieve thread

 void retrieveThread()async {
  final mThread = await openAI.threads.retrieveThread(threadId: 'threadId');
}

Modify thread

  void modifyThread() async {
  await openAI.threads.modifyThread(threadId: 'threadId', metadata: {
    "metadata": {
      "modified": "true",
      "user": "abc123",
    },
  });
}

Delete thread

  void deleteThread() async {
  await openAI.threads.deleteThread(threadId: 'threadId');
}

Using Thread V2

openAI.threads.v2;

Messages

Create Message

void createMessage() async {
  final request = CreateMessage(
    role: 'user',
    content: 'How does AI work? Explain it in simple terms.',
  );
  await openAI.threads.messages.createMessage(
    threadId: 'threadId',
    request: request,
  );
}

List messages

  void listMessage()async {
  final mMessages = await openAI.threads.messages.listMessage(threadId: 'threadId');
}

List message files

  void listMessageFile() async {
  final mMessagesFile = await openAI.threads.messages.listMessageFile(
    threadId: 'threadId',
    messageId: '',
  );
}

Retrieve message

  void retrieveMessage() async {
  final mMessage = await openAI.threads.messages.retrieveMessage(
    threadId: 'threadId',
    messageId: '',
  );
}

Retrieve message file

void retrieveMessageFile() async {
  final mMessageFile = await openAI.threads.messages.retrieveMessageFile(
    threadId: 'threadId',
    messageId: '',
    fileId: '',
  );
}

Modify message

  void modifyMessage() async {
  await openAI.threads.messages.modifyMessage(
    threadId: 'threadId',
    messageId: 'messageId',
    metadata: {
      "metadata": {"modified": "true", "user": "abc123"},
    },
  );
}

Using Message V2

openAI.threads.v2.messages;

Runs

Create run

void createRun() async {
    final request = CreateRun(assistantId: 'assistantId');
    await openAI.threads.runs.createRun(threadId: 'threadId', request: request);
  }

Create thread and run

  void createThreadAndRun() async {
    final request = CreateThreadAndRun(assistantId: 'assistantId', thread: {
      "messages": [
        {"role": "user", "content": "Explain deep learning to a 5 year old."}
      ],
    });
    await openAI.threads.runs.createThreadAndRun(request: request);
  }

List runs

 void listRuns() async {
   final mRuns = await openAI.threads.runs.listRuns(threadId: 'threadId');
  }

List run steps

void listRunSteps() async {
   final mRunSteps = await openAI.threads.runs.listRunSteps(threadId: 'threadId',runId: '',);
  }

Retrieve run

void retrieveRun() async {
   final mRun = await openAI.threads.runs.retrieveRun(threadId: 'threadId',runId: '',);
  }

Retrieve run step

 void retrieveRunStep() async {
   final mRun = await openAI.threads.runs.retrieveRunStep(threadId: 'threadId',runId: '',stepId: '');
  }

Modify run

void modifyRun() async {
    await openAI.threads.runs.modifyRun(
      threadId: 'threadId',
      runId: '',
      metadata: {
        "metadata": {"user_id": "user_abc123"},
      },
    );
  }

Submit tool outputs to run

  void submitToolOutputsToRun() async {
    await openAI.threads.runs.submitToolOutputsToRun(
      threadId: 'threadId',
      runId: '',
      toolOutputs: [
        {
          "tool_call_id": "call_abc123",
          "output": "28C",
        },
      ],
    );
  }

Cancel a run

  void cancelRun() async {
    await openAI.threads.runs.cancelRun(
      threadId: 'threadId',
      runId: '',
    );
  }

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( model: DallE2(),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: FileInfo("${image?.path}", '${image?.name}'),
          mask: FileInfo('file path', 'file name'),
          size: ImageSize.size1024,
          prompt: 'King Snake'),
          model: DallE3(),);

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

Variations

  void variation() async {
  final request =
  Variation(model: DallE2(),image: FileInfo('${image?.path}', '${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: FileInfo('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: FileInfo(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: FileInfo(mAudio.path, 'name'), prompt: '...');

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

Create speech

  void createSpeech() async {
  final request = SpeechRequest(
          model: 'tts-1', input: 'The quick brown fox jumped over the lazy dog.');

  final List<int> response = await openAI.audio
          .createSpeech(request: 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 = CreateFineTuneJob(trainingFile: 'The ID of an uploaded file');
  final response = await openAI.fineTune.createFineTuneJob(request);
}

Fine Tune List

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

Fine Tune List Stream

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

Fine Tune Get by Id

void tineTuneById() async {
    final response = await openAI.fineTune.retrieveFineTuneJob('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();

Name		Name	Last commit message	Last commit date
Latest commit History 290 Commits
.github/workflows		.github/workflows
assets/example		assets/example
coverage		coverage
example		example
example_app/openai_app		example_app/openai_app
lib		lib
test		test
.gitignore		.gitignore
.metadata		.metadata
.pre-push-config.yaml		.pre-push-config.yaml
CHANGELOG.md		CHANGELOG.md
LICENSE		LICENSE
README.md		README.md
analysis_options.yaml		analysis_options.yaml
codemagic.yaml		codemagic.yaml
pubspec.yaml		pubspec.yaml

License

redevrx/chat_gpt_sdk

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ChatGPT Application with flutter

Unofficial

OpenAI Powerful Library Support GPT-4

Features

Install Package

Create OpenAI Instance

Change Access Token

Complete Text

Complete with Feature

GPT 3 with SSE

Chat Complete (GPT-4 and GPT-3.5)

Chat Complete

GPT 4 with SSE

Chat Complete Function Calling

Chat Complete Image Input

Assistants

Create Assistant

Create Assistant File

List assistants

List assistants files

Retrieve assistant

Retrieve assistant file

Modify assistant

Delete assistant

Delete assistant file

Using assistant v2

Threads

Create threads

Retrieve thread

Modify thread

Delete thread

Using Thread V2

Messages

Create Message

List messages

List message files

Retrieve message

Retrieve message file

Modify message

Using Message V2

Runs

Create run

Create thread and run

List runs

List run steps

Retrieve run

Retrieve run step

Modify run

Submit tool outputs to run

Cancel a run

Error Handle

Q&A

Generate Image With Prompt

Generate with feature

Edit

Edit Prompt

Edit Image

Variations

Cancel Generate

Stop Generate Prompt

Stop Edit

Stop Embedding

File

Get File

Upload File

Delete File

Retrieve File

Retrieve Content File

Audio

Audio Translate

Audio Transcribe

Create speech

Embedding

Fine Tune

Packages