dart_openai 1.1.0

Dart SDK for openAI Apis (GPT-3 & DALL-E), integrate easily the power of OpenAI's state-of-the-art AI models into their Dart applications.

Dart SDK for openAI Apis (GPT-3 & DALL-E)

An open-source SDK that allows developers to easily integrate the power of OpenAI's state-of-the-art AI models into their Dart applications. This library provides simple and intuitive methods for making requests to OpenAI's various APIs, including the GPT-3 language model, DALL-E image generation, and more.

The package is designed to be lightweight and easy to use, so you can focus on building your application, rather than worrying about the complexities and error caused by dealing with HTTP requests.

Unofficial
OpenAI does not have any official Dart library.

Note:

Please note that this client SDK connects directly to openAI APIs using http requests, it doesn't provide any additional APIs than what exists here.

Code Progress

• ❌ ChatGPT ( as soon as possible when it's released )
• ✅ Authentication
• ✅ Models
• ✅ Completions
  • ✅ With Stream responses
• ✅ Edits
• ✅ Images
• ✅ Embeddings
• ✅ Files
• ✅ Fine-tunes
  • ❌ With events Stream responses
• ✅ Moderation

Testing Progress

• ✅ Authentication
• ✅ Models
• ✅ Completions
• ✅ Edits
• ✅ Images
• ✅ Embeddings
• ✅ Files
• ✅ Fine-tunes
• ✅ Moderation
  

Articles:

• How to generate AI images using Dall-e inside a Flutter/Dart application.

Authentication

API key

We highly recommend loading your secret key at runtime from a .env file, you can use the dotenv package.

void main() {
 DotEnv env = DotEnv()..load([".env"]);
 OpenAI.apiKey = env['OPEN_AI_API_KEY'];
 // ..
}

Setting an organization

 OpenAI.organization = "ORGANIZATION ID";

Learn More From Here.

Models

List Models

Lists the currently available models, and provides basic information about each one such as the owner and availability.

 final models = await OpenAI.instance.model.list();
 print(models.first.id);

Retrieve model

Retrieves a model instance, providing basic information about the model such as the owner and permissioning.

 final model = await OpenAI.instance.model.retrieve("MODEL ID");
 print(model.id)

Learn More From Here.

Completions

Creates

Create completion

 OpenAICompletionModel completion = await OpenAI.instance.completion.create(
   model: "text-davinci-003",
   prompt: "Dart is a ",
   temperature: 0.8,
 );

Learn More From Here.

Edits

Create edit

 OpenAIEditModel edit = await OpenAI.instance.edit.create(
   model: "text-davinci-edit-001",
   input: " Hi!, I am a bot!!!!,",
   instruction: "remove all ! the input ",
 );

Learn More From Here.

Images

Create image

 OpenAIImageModel image = await OpenAI.instance.image.create(
   prompt: "A dog",
   n: 1,
 );

Create image edit

 final result = await OpenAI.instance.image.edit(
   image: File(/* image file path*/),
   mask: File(/* mask file path*/),
   prompt: "change color to green",
   n: 1,
 );

Create image variation

OpenAIImageVariationModel variation = await OpenAI.instance.image.variation(
 image: File(/*YOUR IMAGE FILE PATH*/),
);

Learn More From Here.

Embeddings

Create embeddings

OpenAIEmbeddingsModel embeddings = await OpenAI.instance.embedding.create(
  model: "text-embedding-ada-002",
  input: "This is a text input just to test",
);;

Learn More From Here.

Files

List files

List<OpenAIFileModel> files = await OpenAI.instance.file.list();

Upload file

OpenAIFileModel uploadedFile = await OpenAI.instance.file.upload(
 file: File("FILE PATH HERE"),
 purpose: "fine-tuning",
);

Delete file

bool isFileDeleted = await OpenAI.instance.file.delete("FILE ID");

Retrieve file

OpenAIFileModel file = await OpenAI.instance.file.retrieve("FILE ID");

Retrieve file content

dynamic fileContent  = await OpenAI.instance.file.retrieveContent("FILE ID");

Learn More From Here.

Fine Tunes

Create fine-tune

OpenAIFineTuneModel fineTune = await OpenAI.instance.fineTune.create(
 trainingFile: "FILE ID",
);

List fine-tunes

List<OpenAIFineTuneModel> fineTunes = await OpenAI.instance.fineTune.list();

Retrieve fine-tune

OpenAIFineTuneModel fineTune = await OpenAI.instance.fineTune.retrieve("FINE TUNE ID");

Cancel fine-tune

OpenAIFineTuneModel fineTune = await OpenAI.instance.fineTune.cancel("FINE TUNE ID");

List fine-tune events

 List<OpenAIFineTuneEventModel> events = await OpenAI.instance.fineTune.listEvents("FINE TUNE ID");

Delete fine-tune

 bool deleted = await OpenAI.instance.fineTune.delete("FINE TUNE ID");

Learn More From Here.

Moderations

Create moderation

OpenAIModerationModel moderationResult = await OpenAI.instance.moderation.create(
  input: "I want to kill him",
);

Learn More From Here.

Error Handling

Any time an error happens from the OpenAI API ends (As Example: when you try to create an image variation from a non-image file ), a RequestFailedException will be thrown automatically inside your Flutter / Dart app, you can use a try-catch to catch that error, and make an action based on it:

try {

// This will throw an error.
 final errorVariation = await OpenAI.instance.image.variation(
  image: File(/*PATH OF NON-IMAGE FILE*/),
 );
} on RequestFailedException catch(e) {
 print(e.message);
 print(e.statusCode)
}