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main.dart
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import 'dart:convert';
import 'package:openai_api/openai_api.dart';
import 'lib/env.dart';
import 'lib/tools.dart';
void main() async {
final client = OpenaiClient(
config: OpenaiConfig(
apiKey: Env.apiKey,
baseUrl: Env.baseUrl,
httpProxy: Env.httpProxy,
),
);
// chatCompletionStsream(client);
await runConversation(client);
// chatCompletion(client);
// await transcripte(client);
// Future.delayed(Duration(seconds: 10));
// await translate(client);
// await testModel(client);
// List<int> mp3 = await testSpeech(client);
// await File("./hello.mp3").writeAsBytes(mp3);
// final r = await testImageGenerate(client);
// print(r);
// print(await client.createImage(
// ImageRequest(
// prompt: "a girl on the beach",
// responseFormat: 'b64_json',
// ),
// ));
// print(await client.createImageEdit(
// ImageEditRequest(image: "assets/image.png", prompt: "打一把太阳伞")));
client.client.close();
}
Future testSpeech(OpenaiClient client) async {
final result = await client.createSpeech(
SpeechRequest(
input: "Hello, my name is John and I'm a doctor.",
voice: Voices.alloy,
responseFormat: AudioFormats.mp3,
),
);
return result;
}
Future testImageGenerate(OpenaiClient client) async {
final result = await client.createImage(ImageRequest(
prompt: "a cute yellow brown dog",
model: Models.dallE3,
// style: 'natural',
));
return result;
}
Future<void> testModel(OpenaiClient client) async {
final result = await client.listModels();
print(result);
print(await client.getModel(Models.gpt3_5Turbo));
}
Future<void> transcripte(OpenaiClient client) async {
final result = await client.createTranscription(
TranscriptionRequest(
file: 'assets/ttsmaker-file-2023-3-22-14-57-0.mp3',
),
);
print(result.text);
}
Future<void> translate(OpenaiClient client) async {
final translateResult = await client.createTraslation(
TranslationRequest(
file: 'assets/ttsmaker-file-2023-3-22-17-27-30.mp3',
// file: "assets/ttsmaker-file-2023-3-22-14-2-35.mp3",
// Wierd. this will be translated into Pinyin for Chinese if prompt not set.
// 你好朋友,我好想你。
// Ni Hao Peng You, Wo Hao Xiang Ni
// prompt: "Please translate into Chinese.",
),
);
print(translateResult.text);
}
void chatCompletionStsream(OpenaiClient client) {
client.sendChatCompletionStream(
ChatCompletionRequest(
model: Models.gpt4_1106VisonPreview,
maxTokens: 2000,
stream: true,
messages: [
ChatMessage.user(
content: "show me golang code sample here",
),
],
),
onSuccess: (p0) {
print(p0);
},
);
}
void chatCompletion(OpenaiClient client) async {
final result = await client.sendChatCompletion(
ChatCompletionRequest(
model: Models.gpt3_5Turbo_0613,
messages: [
ChatMessage(
content: "What's the weather like in Boston in celsius?",
role: ChatMessageRole.user),
ChatMessage(
content: jsonEncode({
"temperature": "22",
"unit": "celsius",
"description": "Sunny",
}),
name: 'get_current_weather',
role: ChatMessageRole.function,
),
],
functions: [
ChatFunction(
name: "get_current_weather",
description: "Get the current weather in a given location",
parameters: ChatFunctionParameters(
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: "auto",
),
);
print(result);
}
Future runConversation(OpenaiClient client) async {
final messages = [
ChatMessage.user(
content:
"What's the weather like in San Francisco, Tokyo, Shanghai and Paris?")
];
final tools = [
ChatTool(
function: ChatFunction(
name: "get_current_weather",
description: "Get the current weather in a given location",
parameters: ChatFunctionParameters(
type: "object",
properties: {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA",
},
"unit": {
"type": "string",
"enum": ["celsius", "fahrenheit"]
}
},
required: ["location"],
),
))
];
final result = await client.sendChatCompletion(ChatCompletionRequest(
model: Models.gpt4_1106Preview,
messages: messages,
tools: tools,
toolChoice: "auto",
));
final msg = result.choices.first.message;
final toolCalls = msg?.toolCalls;
if (toolCalls != null) {
final availableFunctions = {
"get_current_weather": getCurrentWeatherOnline,
};
messages.add(msg!);
for (final toolCall in toolCalls) {
final functionName = toolCall.function.name;
final toCall = availableFunctions[functionName];
final args = json.decode(toolCall.function.arguments);
final res = await toCall!.call(
args["location"],
);
messages.add(
ChatMessage.tool(
content: res,
toolCallId: toolCall.id,
name: functionName,
),
);
}
final response = await client.sendChatCompletion(ChatCompletionRequest(
messages: messages,
model: Models.gpt4_1106Preview,
));
print(response.choices.first.message?.content);
}
}