whetstone.chatgpt
1.8.1
一個簡單的輕量級庫，它包裹開放的AI API並支持依賴注入。
支持的功能包括：
有關在此圖書館構建的Blazor Web應用程序的視頻演練，請參閱：
將其部署到github頁面，並在以下網站上找到：打開AI UI。 Blazor Web應用程序的來源位於whetstone.chatgpt.blazor.app上。
示例包括：
services . Configure < ChatGPTCredentials > ( options =>
{
options . ApiKey = " YOURAPIKEY " ;
options . Organization = " YOURORGANIZATIONID " ;
} ) ;使用：
services . AddHttpClient ( ) ;或者：
services . AddHttpClient < IChatGPTClient , ChatGPTClient > ( ) ;配置IChatGPTClient服務：
services . AddScoped < IChatGPTClient , ChatGPTClient > ( ) ; 聊天完成是一種特殊的完成類型，可用於聊天。它們被設計為在對話環境中使用。
這顯示了GPT-3.5渦輪模型的使用。
using Whetstone . ChatGPT ;
using Whetstone . ChatGPT . Models ;
. . .
var gptRequest = new ChatGPTChatCompletionRequest
{
Model = ChatGPT35Models . Turbo ,
Messages = new List < ChatGPTChatCompletionMessage > ( )
{
new ChatGPTChatCompletionMessage ( ChatGPTMessageRoles . System , " You are a helpful assistant. " ) ,
new ChatGPTChatCompletionMessage ( ChatGPTMessageRoles . User , " Who won the world series in 2020? " ) ,
new ChatGPTChatCompletionMessage ( ChatGPTMessageRoles . Assistant , " The Los Angeles Dodgers won the World Series in 2020. " ) ,
new ChatGPTChatCompletionMessage ( ChatGPTMessageRoles . User , " Where was it played? " )
} ,
Temperature = 0.9f ,
MaxTokens = 100
} ;
using IChatGPTClient client = new ChatGPTClient ( " YOURAPIKEY " ) ;
var response = await client . CreateChatCompletionAsync ( gptRequest ) ;
Console . WriteLine ( response ? . GetCompletionText ( ) ) ;GPT-4型號也可以使用，只要您的帳戶已獲得訪問有限的Beta的訪問權限即可。
完成使用模型來回答各種任務，包括但不限於分類，情感分析，回答問題等。
這顯示了GPT-3.5-Turbo-Instruct模型的直接使用，沒有任何提示。
請注意， CreateCompletionasync已過時。使用ChatgptChatCompletionRequest ， ChatgptChatCompletionResponse和createChatCompletionAsync方法。
using Whetstone . ChatGPT ;
using Whetstone . ChatGPT . Models ;
. . .
var gptRequest = new ChatGPTCompletionRequest
{
Model = ChatGPT35Models . Gpt35TurboInstruct ,
Prompt = " How is the weather? "
} ;
using IChatGPTClient client = new ChatGPTClient ( " YOURAPIKEY " ) ;
var response = await client . CreateCompletionAsync ( gptRequest ) ;
Console . WriteLine ( response . GetCompletionText ( ) ) ;GPT-3.5不是確定性的。上面樣本的測試之一返回：
天氣可能會因位置而異。通常，您可以期望溫度適中和氣候會感到舒適，但是最好檢查您特定區域的預測。
AC＃使用完成的控制台應用程序可獲得以下網址：
whetstone.chatgpt.commandlinebot（chatgpt-marv）
該樣本包括：
如何創建一個上傳新的微調文件。
List < ChatGPTTurboFineTuneLine > tuningInput = new ( )
{
new ChatGPTTurboFineTuneLine ( )
{
Messages = new List < ChatGPTTurboFineTuneLineMessage > ( )
{
new ( ChatGPTMessageRoles . System , " Marv is a factual chatbot that is also sarcastic. " ) ,
new ( ChatGPTMessageRoles . User , " What's the capital of France? " ) ,
new ( ChatGPTMessageRoles . Assistant , " Paris, as if everyone doesn't know that already. " )
} ,
} ,
new ChatGPTTurboFineTuneLine ( )
{
Messages = new List < ChatGPTTurboFineTuneLineMessage > ( )
{
new ( ChatGPTMessageRoles . System , " Marv is a factual chatbot that is also sarcastic. " ) ,
new ( ChatGPTMessageRoles . User , " Who wrote 'Romeo and Juliet'? " ) ,
new ( ChatGPTMessageRoles . Assistant , " Oh, just some guy named William Shakespeare. Ever heard of him? " )
} ,
} ,
. . .
} ;
byte [ ] tuningText = tuningInput . ToJsonLBinary ( ) ;
string fileName = " marvin.jsonl " ;
ChatGPTUploadFileRequest ? uploadRequest = new ChatGPTUploadFileRequest
{
File = new ChatGPTFileContent
{
FileName = fileName ,
Content = tuningText
}
} ;
ChatGPTFileInfo ? newTurboTestFile ;
using ( IChatGPTClient client = new ChatGPTClient ( " YOURAPIKEY " ) )
{
newTurboTestFile = await client . UploadFileAsync ( uploadRequest ) ;
} 創建文件後，獲取文件ID，並在創建新的微調時引用它。
IChatGPTClient client = new ChatGPTClient ( " YOURAPIKEY " ) ;
uploadedFileInfo = await client . UploadFileAsync ( uploadRequest ) ;
var fileList = await client . ListFilesAsync ( ) ;
var foundFile = fileList ? . Data ? . First ( x => x . Filename . Equals ( " marvin.jsonl " ) ) ;
ChatGPTCreateFineTuneRequest tuningRequest = new ChatGPTCreateFineTuneRequest
{
TrainingFileId = foundFile ? . Id ,
Model = " gpt-3.5-turbo-1106 "
} ;
ChatGPTFineTuneJob ? tuneResponse = await client . CreateFineTuneAsync ( tuningRequest ) ;
string ? fineTuneId = tuneResponse ? . Id ;處理微調請求將需要一些時間。結束後，狀態將報告“成功”，並準備在完成請求中使用。
using IChatGPTClient client = new ChatGPTClient ( " YOURAPIKEY " ) ;
ChatGPTFineTuneJob ? tuneResponse = await client . RetrieveFineTuneAsync ( " FINETUNEID " ) ;
if ( tuneResponse . Status . Equals ( " succeeded " ) )
{
var gptRequest = new ChatGPTChatCompletionRequest
{
Model = " FINETUNEID " ,
Messages = new List < ChatGPTChatCompletionMessage > ( )
{
new ChatGPTChatCompletionMessage ( ChatGPTMessageRoles . System , " You are a helpful assistant. " ) ,
new ChatGPTChatCompletionMessage ( ChatGPTMessageRoles . User , " Who won the world series in 2020? " ) ,
new ChatGPTChatCompletionMessage ( ChatGPTMessageRoles . Assistant , " The Los Angeles Dodgers won the World Series in 2020. " ) ,
new ChatGPTChatCompletionMessage ( ChatGPTMessageRoles . User , " Where was it played? " )
} ,
Temperature = 0.9f ,
MaxTokens = 100
} ;
var response = await client . CreateChatCompletionAsync ( gptRequest ) ;
Console . WriteLine ( response ? . GetCompletionText ( ) ) ; 這是生成1024x1024圖像的示例。
ChatGPTCreateImageRequest imageRequest = new ( )
{
Prompt = " A sail boat " ,
Size = CreatedImageSize . Size1024 ,
ResponseFormat = CreatedImageFormat . Base64
} ;
using IChatGPTClient client = new ChatGPTClient ( " YOURAPIKEY " ) ;
ChatGPTImageResponse ? imageResponse = await client . CreateImageAsync ( imageRequest ) ;
var imageData = imageResponse ? . Data ? [ 0 ] ;
if ( imageData != null )
{
byte [ ] ? imageBytes = await client . DownloadImageAsync ( imageData ) ;
} 她是使用耳語轉錄音頻文件的例子。
string audioFile = @"audiofilestranscriptiontest.mp3" ;
byte [ ] fileContents = File . ReadAllBytes ( audioFile ) ;
ChatGPTFileContent gptFile = new ChatGPTFileContent
{
FileName = audioFile ,
Content = fileContents
} ;
ChatGPTAudioTranscriptionRequest ? transcriptionRequest = new ChatGPTAudioTranscriptionRequest
{
File = gptFile
} ;
using IChatGPTClient client = new ChatGPTClient ( " YOURAPIKEY " ) ;
ChatGPTAudioResponse ? audioResponse = await client . CreateTranscriptionAsync ( transcriptionRequest , true ) ;
Console . WriteLine ( audioResponse ? . Text ) ;
