49 lines
1.8 KiB
C#
49 lines
1.8 KiB
C#
using Seasoned.Backend.DTOs;
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using Mscc.GenerativeAI;
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using Microsoft.AspNetCore.Http;
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using System.IO;
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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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// 1. Better Prompt: Tell Gemini exactly what the JSON should look like
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var prompt = @"Extract the recipe from this image.
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Return a JSON object with exactly these fields:
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{
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""title"": ""string"",
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""description"": ""string"",
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""ingredients"": [""string""],
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""instructions"": [""string""]
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}";
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// 2. Set the Response MIME Type to application/json
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var config = new GenerationConfig { ResponseMimeType = "application/json" };
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var request = new GenerateContentRequest(prompt, config);
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request.AddMedia(base64Image, "image/png");
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var response = await model.GenerateContent(request);
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// 3. Use System.Text.Json to turn that string back into our DTO
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var options = new System.Text.Json.JsonSerializerOptions { PropertyNameCaseInsensitive = true };
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var result = System.Text.Json.JsonSerializer.Deserialize<RecipeResponseDto>(response.Text, options);
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return result ?? new RecipeResponseDto { Title = "Error parsing JSON" };
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}
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} |