50 lines
1.7 KiB
C#
50 lines
1.7 KiB
C#
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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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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var prompt = "Extract the recipe from this image. Return Title and Description.";
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// Use the library's internal GenerateContentRequest but manually build the Parts list
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var request = new GenerateContentRequest();
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var content = new Content(Role.User);
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// This is the specific syntax to satisfy the IPart list requirement
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content.Parts = new List<IPart>
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{
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new Part { Text = prompt },
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new Part { InlineData = new InlineData { MimeType = "image/png", Data = base64Image } }
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}.Cast<IPart>().ToList(); // This 'Cast' is the magic bullet
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request.Contents = new List<Content> { content };
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// Solve the ambiguity by picking the Request overload
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var response = await model.GenerateContent(request);
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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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} |