Organize workspace: Frontend, Backend, and Tests in one repo

.vscode-server/data/User/History/b03096/26Rk.cs

@@ -0,0 +1,55 @@
+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+using Microsoft.AspNetCore.Http;
+using System.IO;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new GoogleAI(_apiKey);
+        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var base64Image = Convert.ToBase64String(ms.ToArray());
+
+        var prompt = "Extract the recipe from this image. Return Title and Description.";
+        
+        // 1. Initialize Content with the Role in the constructor
+        var content = new Content(Role.User);
+        
+        // 2. Assign the parts using dynamic to bypass the IPart/Part conversion headache
+        content.Parts = (dynamic)new List<object>
+        {
+            new { text = prompt },
+            new { inline_data = new { mime_type = "image/png", data = base64Image } }
+        };
+
+        // 3. Create the request
+        var request = new GenerateContentRequest
+        {
+            Contents = new List<Content> { content }
+        };
+
+        // 4. Call the model
+        var response = await model.GenerateContent(request);
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Analysis",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }
+}