chore: import upstream snapshot with attribution
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// Copyright (c) Microsoft. All rights reserved.
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using Microsoft.SemanticKernel;
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using Microsoft.SemanticKernel.ChatCompletion;
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using Resources;
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namespace ChatCompletion;
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/// <summary>
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/// This example shows how to use binary files input with OpenAI's chat completion.
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/// </summary>
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public class OpenAI_ChatCompletionWithFile(ITestOutputHelper output) : BaseTest(output)
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{
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/// <summary>
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/// This uses a local file as input for your chat
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/// </summary>
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[Fact]
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public async Task UsingLocalFileInChatCompletion()
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{
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var fileBytes = await EmbeddedResource.ReadAllAsync("employees.pdf");
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var kernel = Kernel.CreateBuilder()
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.AddOpenAIChatCompletion(TestConfiguration.OpenAI.ChatModelId, TestConfiguration.OpenAI.ApiKey)
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.Build();
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var chatCompletionService = kernel.GetRequiredService<IChatCompletionService>();
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var chatHistory = new ChatHistory("You are a friendly assistant.");
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chatHistory.AddUserMessage(
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[
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new TextContent("What's in this file?"),
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new BinaryContent(fileBytes, "application/pdf")
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]);
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var reply = await chatCompletionService.GetChatMessageContentAsync(chatHistory);
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Console.WriteLine(reply.Content);
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}
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/// <summary>
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/// This uses a Base64 data URI as a binary file input for your chat
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/// </summary>
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[Fact]
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public async Task UsingBase64DataUriInChatCompletion()
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{
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var fileBytes = await EmbeddedResource.ReadAllAsync("employees.pdf");
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var fileBase64 = Convert.ToBase64String(fileBytes.ToArray());
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var dataUri = $"data:application/pdf;base64,{fileBase64}";
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var kernel = Kernel.CreateBuilder()
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.AddOpenAIChatCompletion(TestConfiguration.OpenAI.ChatModelId, TestConfiguration.OpenAI.ApiKey)
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.Build();
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var chatCompletionService = kernel.GetRequiredService<IChatCompletionService>();
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var chatHistory = new ChatHistory("You are a friendly assistant.");
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chatHistory.AddUserMessage(
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[
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new TextContent("What's in this file?"),
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new BinaryContent(dataUri)
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]);
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var reply = await chatCompletionService.GetChatMessageContentAsync(chatHistory);
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Console.WriteLine(reply.Content);
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}
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}
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