60 lines
2.3 KiB
C#
60 lines
2.3 KiB
C#
using System.Security.Cryptography;
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using LLama.Common;
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using Microsoft.SemanticKernel.AI.ChatCompletion;
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using LLamaSharp.SemanticKernel.ChatCompletion;
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namespace LLama.Examples.Examples
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{
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public class SemanticKernelChat
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{
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public static async Task Run()
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{
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Console.WriteLine("Example from: https://github.com/microsoft/semantic-kernel/blob/main/dotnet/README.md");
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Console.Write("Please input your model path: ");
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var modelPath = Console.ReadLine();
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// Load weights into memory
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var parameters = new ModelParams(modelPath);
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using var model = LLamaWeights.LoadFromFile(parameters);
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var ex = new StatelessExecutor(model, parameters);
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var chatGPT = new LLamaSharpChatCompletion(ex);
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var chatHistory = chatGPT.CreateNewChat("This is a conversation between the assistant and the user. \n\n You are a librarian, expert about books. ");
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Console.WriteLine("Chat content:");
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Console.WriteLine("------------------------");
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chatHistory.AddUserMessage("Hi, I'm looking for book suggestions");
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await MessageOutputAsync(chatHistory);
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// First bot assistant message
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string reply = await chatGPT.GenerateMessageAsync(chatHistory);
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chatHistory.AddAssistantMessage(reply);
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await MessageOutputAsync(chatHistory);
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// Second user message
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chatHistory.AddUserMessage("I love history and philosophy, I'd like to learn something new about Greece, any suggestion");
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await MessageOutputAsync(chatHistory);
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// Second bot assistant message
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reply = await chatGPT.GenerateMessageAsync(chatHistory);
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chatHistory.AddAssistantMessage(reply);
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await MessageOutputAsync(chatHistory);
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}
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/// <summary>
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/// Outputs the last message of the chat history
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/// </summary>
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private static Task MessageOutputAsync(Microsoft.SemanticKernel.AI.ChatCompletion.ChatHistory chatHistory)
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{
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var message = chatHistory.Last();
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Console.WriteLine($"{message.Role}: {message.Content}");
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Console.WriteLine("------------------------");
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return Task.CompletedTask;
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}
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}
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}
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