Interactive text generation with a chatbot

 using Google.Cloud.AIPlatform.V1; using System; using System.Collections.Generic; using System.Threading.Tasks; public class MultiTurnChatSample {  public async Task<string> GenerateContent(  string projectId = "your-project-id",  string location = "us-central1",  string publisher = "google",  string model = "gemini-2.0-flash-001"  )  {  // Create a chat session to keep track of the context  ChatSession chatSession = new ChatSession($"projects/{projectId}/locations/{location}/publishers/{publisher}/models/{model}", location);  string prompt = "Hello.";  Console.WriteLine($"\nUser: {prompt}");  string response = await chatSession.SendMessageAsync(prompt);  Console.WriteLine($"Response: {response}");  prompt = "What are all the colors in a rainbow?";  Console.WriteLine($"\nUser: {prompt}");  response = await chatSession.SendMessageAsync(prompt);  Console.WriteLine($"Response: {response}");  prompt = "Why does it appear when it rains?";  Console.WriteLine($"\nUser: {prompt}");  response = await chatSession.SendMessageAsync(prompt);  Console.WriteLine($"Response: {response}");  return response;  }  private class ChatSession  {  private readonly string _modelPath;  private readonly PredictionServiceClient _predictionServiceClient;  private readonly List<Content> _contents;  public ChatSession(string modelPath, string location)  {  _modelPath = modelPath;  _predictionServiceClient = new PredictionServiceClientBuilder  {  Endpoint = $"{location}-aiplatform.googleapis.com"  }.Build();  // Initialize contents to send over in every request.  _contents = new List<Content>();  }  public async Task<string> SendMessageAsync(string prompt)  {  var content = new Content  {  Role = "USER",  Parts =  {  new Part { Text = prompt }  }  };  _contents.Add(content);  var generateContentRequest = new GenerateContentRequest  {  Model = _modelPath,  GenerationConfig = new GenerationConfig  {  Temperature = 0.9f,  TopP = 1,  TopK = 32,  CandidateCount = 1,  MaxOutputTokens = 2048  }  };  generateContentRequest.Contents.AddRange(_contents);  GenerateContentResponse response = await _predictionServiceClient.GenerateContentAsync(generateContentRequest);  _contents.Add(response.Candidates[0].Content);  return response.Candidates[0].Content.Parts[0].Text;  }  } }