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

.vscode-server/data/User/History/b03096/J28Z.cs

@@ -0,0 +1,55 @@
+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 Mscc.GenerativeAI.GoogleAI(_apiKey);
+        
+        // Explicitly calling Gemini 2.5 Flash
+        var model = googleAI.GenerativeModel(Mscc.GenerativeAI.Model.Gemini25Flash);
+
+        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.";
+
+        // Using full namespace paths for all request objects
+        var request = new Mscc.GenerativeAI.GenerateContentRequest
+        {
+            Contents = new List<Mscc.GenerativeAI.Content>
+            {
+                new Mscc.GenerativeAI.Content
+                {
+                    Role = Mscc.GenerativeAI.Role.User,
+                    Parts = new List<Mscc.GenerativeAI.Part>
+                    {
+                        new Mscc.GenerativeAI.TextPart { Text = prompt },
+                        new Mscc.GenerativeAI.InlineDataPart { MimeType = "image/png", Data = base64Image }
+                    }
+                }
+            }
+        };
+
+        var response = await model.GenerateContent(request);
+
+        return new RecipeResponseDto
+        {
+            Title = "Gemini 2.5 Result",
+            Description = response.Text ?? "No text returned",
+            Ingredients = new List<string>(),
+            Instructions = new List<string>()
+        };
+    }
+}