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

.vscode-server/data/User/History/b03096/Tt28.cs

@@ -0,0 +1,50 @@
+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+
+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.";
+        
+        // Use the library's internal GenerateContentRequest but manually build the Parts list
+        var request = new GenerateContentRequest();
+        var content = new Content(Role.User);
+
+        // This is the specific syntax to satisfy the IPart list requirement
+        content.Parts = new List<IPart>
+        {
+            new Part { Text = prompt },
+            new Part { InlineData = new InlineData { MimeType = "image/png", Data = base64Image } }
+        }.Cast<IPart>().ToList(); // This 'Cast' is the magic bullet
+
+        request.Contents = new List<Content> { content };
+
+        // Solve the ambiguity by picking the Request overload
+        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>()
+        };
+    }
+}