Organize workspace: Frontend, Backend, and Tests in one repo
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52
.vscode-server/data/User/History/b03096/Goe4.cs
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52
.vscode-server/data/User/History/b03096/Goe4.cs
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using Seasoned.Backend.DTOs;
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using Mscc.GenerativeAI;
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namespace Seasoned.Backend.Services;
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public class RecipeService : IRecipeService
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{
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private readonly string _apiKey;
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public RecipeService(IConfiguration config)
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{
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_apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
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}
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public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
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{
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// Use the explicit string for the model to bypass the "Model.Gemini25Flash" error
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var googleAI = new GoogleAI(_apiKey);
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var model = googleAI.GenerativeModel("gemini-2.5-flash");
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using var ms = new MemoryStream();
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await image.CopyToAsync(ms);
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var base64Image = Convert.ToBase64String(ms.ToArray());
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// Use a dynamic request structure which the library supports for newer models
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var prompt = "Extract the recipe from this image. Return Title and Description.";
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// This is a more robust way to send the request in the latest version
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var response = await model.GenerateContent(new()
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{
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Contents = new List<Content>
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{
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new Content
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{
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Parts = new List<Part>
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{
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new() { Text = prompt },
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new() { InlineData = new InlineData { MimeType = "image/png", Data = base64Image } }
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}
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}
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}
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});
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return new RecipeResponseDto
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{
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Title = "Gemini 2.5 Analysis",
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Description = response.Text ?? "No text returned",
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Ingredients = new List<string>(),
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Instructions = new List<string>()
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};
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}
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}
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