49 lines
1.3 KiB
C#
49 lines
1.3 KiB
C#
using System;
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using System.Collections.Generic;
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using Microsoft.Extensions.AI;
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using Microsoft.SemanticKernel;
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using Microsoft.SemanticKernel.Connectors.Onnx;
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// Path to the folder of your downloaded ONNX CUDA model
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// i.e: D:\repo\huggingface\Phi-3-mini-4k-instruct-onnx\cuda\cuda-int4-rtn-block-32
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string modelPath = "MODEL_PATH";
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IKernelBuilder builder = Kernel.CreateBuilder();
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builder.AddOnnxRuntimeGenAIChatClient(
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modelPath: modelPath,
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// Specify the provider you want to use, e.g., "cuda" for GPU support
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// For other execution providers, check: https://onnxruntime.ai/docs/genai/reference/config#provideroptions
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providers: [new Provider("cuda")] //
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);
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Kernel kernel = builder.Build();
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using IChatClient chatClient = kernel.GetRequiredService<IChatClient>();
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List<ChatMessage> chatHistory = [];
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while (true)
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{
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Console.Write("User > ");
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string userMessage = Console.ReadLine()!;
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if (string.IsNullOrEmpty(userMessage))
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{
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break;
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}
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chatHistory.Add(new ChatMessage(ChatRole.User, userMessage));
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try
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{
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ChatResponse result = await chatClient.GetResponseAsync(chatHistory, new() { MaxOutputTokens = 1024 });
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Console.WriteLine($"Assistant > {result.Text}");
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chatHistory.AddRange(result.Messages);
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}
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catch (Exception e)
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{
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Console.WriteLine(e.Message);
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}
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}
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