ChatGPT is a chatbot 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.
chat_gpt:1.0.2+4
pub getCreate ChatGPT 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
- Token
- 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: 6000),isLogger: true);- 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
- Translate Method
final request = CompleteText(prompt: translateEngToThai(word: ''),
model: kTranslateModelV3, maxTokens: 200);
openAI.onCompleteStream(request:request).listen((response) => print(response))
.onError((err) {
print("$err");
});- Complete with StreamBuilder
final tController = StreamController<CTResponse?>.broadcast();
openAI
.onCompleteStream(request: request)
.asBroadcastStream()
.listen((res) {
tController.sink.add(res);
});
///ui code
StreamBuilder<CTResponse?>(
stream: tController.stream,
builder: (context, snapshot) {
final data = snapshot.data;
if(snapshot.connectionState == ConnectionState.done) return something
if(snapshot.connectionState == ConnectionState.waiting) return something
return something
})- Complete with Feature
void _translateEngToThai() async{
final request = CompleteText(
prompt: translateEngToThai(word: _txtWord.text.toString()),
max_tokens: 200,
model: kTranslateModelV3);
final response = await openAI.onCompleteText(request: request);
print(response);
}- Example Q&A
- Answer questions based on existing knowledge.
final request = CompleteText(prompt:'What is human life expectancy in the United States?'),
model: kTranslateModelV3, maxTokens: 200);
openAI.onCompleteStream(request:request).listen((response) => print(response))
.onError((err) {
print("$err");
});- 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
- 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.
- prompt
- Generate with stream
openAI = OpenAI
.instance
.builder(toekn:"token",
baseOption: HttpSetup(receiveTimeout: 7000),isLogger:true);
const prompt = "Snake Red";
final request = GenerateImage(prompt,2);
openAI.generateImageStream(request)
.asBroadcastStream()
.listen((it) {
print(it.data?.last?.url)
});
/// cancel stream controller
openAI.genImgClose();- Generate with feature
void _generateImage() {
const prompt = "cat eating snake blue red.";
final request = GenerateImage(prompt,2);
final response = openAI.generateImage(request);
print("img url :${response.data?.last?.url}");
}- Model List
- List and describe the various models available in the API. You can refer to the Models documentation to understand what models are available and the differences between them.
- https://beta.openai.com/docs/api-reference/models
final models = await openAI.listModel();- Engine List
- Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability.
- https://beta.openai.com/docs/api-reference/engines
final engines = await openAI.listEngine();class MyApp extends StatelessWidget {
const MyApp({Key? key}) : super(key: key);
@override
Widget build(BuildContext context) {
return const MaterialApp(
home: TranslateScreen(),
);
}
}
class TranslateScreen extends StatefulWidget {
const TranslateScreen({Key? key}) : super(key: key);
@override
State<TranslateScreen> createState() => _TranslateScreenState();
}
class _TranslateScreenState extends State<TranslateScreen> {
/// text controller
final _txtWord = TextEditingController();
late OpenAI openAI;
///t => translate
final tController = StreamController<CTResponse?>.broadcast();
void _translateEngToThai() async{
final request = CompleteText(
prompt: translateEngToThai(word: _txtWord.text.toString()),
maxTokens: 200,
model: kTranslateModelV3);
openAI
.onCompleteStream(request: request)
.asBroadcastStream()
.listen((res) {
tController.sink.add(res);
})
.onError((err) {
print("$err");
});
}
void modelDataList() async {
final model = await OpenAI.instance.build(token: "").listModel();
}
void engineList() async {
final engines = await OpenAI.instance.build(token: "").listEngine();
}
@override
void initState() {
openAI = OpenAI.instance.build(
token: token,
baseOption: HttpSetup(receiveTimeout: 6000),isLogger: true);
super.initState();
}
@override
void dispose() {
///close stream complete text
openAI.close();
tController.close();
super.dispose();
}
@override
Widget build(BuildContext context) {
var size = MediaQuery.of(context).size;
return Scaffold(
backgroundColor: Colors.white,
body: SingleChildScrollView(
child: Center(
child: Padding(
padding: const EdgeInsets.symmetric(vertical: 16.0),
child: Column(
crossAxisAlignment: CrossAxisAlignment.center,
children: [
/**
* title translate
*/
_titleCard(size),
/**
* input card
* insert your text for translate to th.com
*/
_inputCard(size),
/**
* card input translate
*/
_resultCard(size),
/**
* button translate
*/
_btnTranslate()
],
),
),
),
),
bottomNavigationBar: _navigation(size),
);
}
Widget _btnTranslate() {
return Row(
mainAxisAlignment: MainAxisAlignment.end,
children: [
Padding(
padding: const EdgeInsets.only(right: 16.0),
child: MaterialButtonX(
message: "Translate",
height: 40.0,
width: 130.0,
color: Colors.blueAccent,
icon: Icons.translate,
iconSize: 18.0,
radius: 46.0,
onClick: () => _translateEngToThai())),
],
);
}
Widget _resultCard(Size size) {
return StreamBuilder<CTResponse?>(
stream: tController.stream,
builder: (context, snapshot) {
final text = snapshot.data?.choices.last.text ?? "Loading...";
return Container(
margin: const EdgeInsets.symmetric(vertical: 32.0),
padding: const EdgeInsets.symmetric(horizontal: 16.0),
alignment: Alignment.bottomCenter,
width: size.width * .86,
height: size.height * .3,
decoration: heroCard,
child: SingleChildScrollView(
child: Column(
children: [
Text(
text,
style: const TextStyle(color: Colors.black, fontSize: 18.0),
),
SizedBox(
width: size.width,
child: const Divider(
color: Colors.grey,
thickness: 1,
),
),
Padding(
padding: const EdgeInsets.all(12.0),
child: Row(
mainAxisAlignment: MainAxisAlignment.end,
children: const [
Icon(
Icons.copy_outlined,
color: Colors.grey,
size: 22.0,
),
Padding(
padding: EdgeInsets.symmetric(horizontal: 8.0),
child: Icon(
Icons.delete_forever,
color: Colors.grey,
size: 22.0,
),
)
],
),
)
],
),
),
);
},
);
}
Padding _navigation(Size size) {
return Padding(
padding: const EdgeInsets.symmetric(vertical: 16.0, horizontal: 18.0),
child: Container(
width: size.width * .8,
height: size.height * .06,
decoration: heroNav,
child: Row(
mainAxisAlignment: MainAxisAlignment.spaceAround,
children: [
Container(
padding: const EdgeInsets.all(4.0),
decoration: BoxDecoration(
color: Colors.indigoAccent,
borderRadius: BorderRadius.circular(50.0)),
child: const Icon(
Icons.translate,
color: Colors.white,
size: 22.0,
),
),
const Icon(
Icons.record_voice_over_outlined,
color: Colors.indigoAccent,
size: 22.0,
),
const Icon(
Icons.favorite,
color: Colors.indigoAccent,
size: 22.0,
),
const Icon(
Icons.person,
color: Colors.indigoAccent,
size: 22.0,
)
],
),
),
);
}
Widget _titleCard(Size size) {
return Container(
margin: const EdgeInsets.symmetric(vertical: 32.0),
width: size.width * .86,
height: size.height * .08,
decoration: heroCard,
child: Row(
mainAxisAlignment: MainAxisAlignment.spaceAround,
children: [
Row(
children: [
ClipRRect(
borderRadius: BorderRadius.circular(30),
child: Image.network(
"https://www.clipartmax.com/png/middle/200-2009207_francais-english-italiano-english-flag-icon-flat.png",
fit: BoxFit.cover,
width: 30.0,
height: 30.0,
),
),
const Padding(
padding: EdgeInsets.symmetric(horizontal: 4.0),
child: Text(
"Eng",
style: TextStyle(color: Colors.grey, fontSize: 12.0),
),
),
Transform.rotate(
angle: -pi / 2,
child: const Icon(
Icons.arrow_back_ios_new,
size: 16.0,
color: Colors.grey,
),
)
],
),
const Padding(
padding: EdgeInsets.symmetric(horizontal: 12.0),
child: Icon(
Icons.swap_horiz_outlined,
color: Colors.grey,
size: 22.0,
),
),
Row(
children: [
ClipRRect(
borderRadius: BorderRadius.circular(30),
child: Image.network(
"https://cdn-icons-png.flaticon.com/512/197/197452.png",
fit: BoxFit.cover,
width: 30.0,
height: 30.0,
),
),
const Padding(
padding: EdgeInsets.symmetric(horizontal: 4.0),
child: Text(
"Thai",
style: TextStyle(color: Colors.grey, fontSize: 12.0),
),
),
Transform.rotate(
angle: -pi / 2,
child: const Icon(
Icons.arrow_back_ios_new,
size: 16.0,
color: Colors.grey,
),
)
],
)
],
),
);
}
Widget _inputCard(Size size) {
return Container(
padding: const EdgeInsets.symmetric(horizontal: 16.0),
alignment: Alignment.bottomCenter,
width: size.width * .86,
height: size.height * .25,
decoration: heroCard,
child: SingleChildScrollView(
child: Column(
children: [
TextField(
decoration: const InputDecoration(
border: InputBorder.none,
enabledBorder: InputBorder.none,
disabledBorder: InputBorder.none),
controller: _txtWord,
maxLines: 6,
textInputAction: TextInputAction.newline,
keyboardType: TextInputType.multiline,
),
SizedBox(
width: size.width,
child: const Divider(
color: Colors.grey,
thickness: 1,
),
),
Padding(
padding: const EdgeInsets.all(12.0),
child: Row(
mainAxisAlignment: MainAxisAlignment.end,
children: const [
Icon(
Icons.copy_outlined,
color: Colors.grey,
size: 22.0,
),
Padding(
padding: EdgeInsets.symmetric(horizontal: 8.0),
child: Icon(
Icons.record_voice_over_outlined,
color: Colors.grey,
size: 22.0,
),
)
],
),
)
],
),
),
);
}
}