Merge pull request #300 from martindevans/minor_demos_cleanup

Minor cleanup on example code

LLama.Examples/Examples/BatchedDecoding.cs

@@ -1,5 +1,4 @@
 using System.Diagnostics;
-using System.Security.Cryptography;
 using System.Text;
 using LLama.Common;
 using LLama.Native;
@@ -17,7 +16,7 @@ public class BatchedDecoding
 
     private const int top_k = 80;
     private const float top_p = 0.8f;
-    private const float temp = 0.5f;
+    private const float temp = 0.75f;
 
     public static async Task Run()
     {
@@ -173,5 +172,8 @@ public class BatchedDecoding
             Console.ForegroundColor = ConsoleColor.Red;
             Console.WriteLine(text);
         }
+
+        Console.WriteLine("Press any key to exit demo");
+        Console.ReadKey(true);
     }
 }

LLama.Examples/Examples/Runner.cs

@@ -4,27 +4,28 @@ namespace LLama.Examples.Examples;
 
 public class Runner
 {
-    static Dictionary<string, Func<Task>> Examples = new()
+    private static readonly Dictionary<string, Func<Task>> Examples = new()
     {
-        {"Run a chat session without stripping the role names.", () => ChatSessionWithRoleName.Run()},
-        {"Run a chat session with the role names stripped.",()=> ChatSessionStripRoleName.Run()},
-        {"Interactive mode chat by using executor.",()=> InteractiveModeExecute.Run()},
-        {"Instruct mode chat by using executor.",()=> InstructModeExecute.Run()},
-        {"Stateless mode chat by using executor.",()=> StatelessModeExecute.Run()},
-        {"Load and save chat session.",()=> SaveAndLoadSession.Run()},
-        {"Load and save state of model and executor.",()=> LoadAndSaveState.Run()},
-        {"Get embeddings from LLama model.",()=> Task.Run(GetEmbeddings.Run)},
-        {"Quantize the model.",()=> Task.Run(QuantizeModel.Run)},
-        {"Automatic conversation.",()=> TalkToYourself.Run()},
-        {"Constrain response to json format using grammar.",()=> GrammarJsonResponse.Run()},
-        {"Semantic Kernel Prompt.",()=> SemanticKernelPrompt.Run()},
-        {"Semantic Kernel Chat.",()=> SemanticKernelChat.Run()},
-        {"Semantic Kernel Memory.",()=> SemanticKernelMemory.Run()},
-        {"Coding Assistant.",()=> CodingAssistant.Run()},
-        {"Batch Decoding.",()=> BatchedDecoding.Run()},
-        {"SK Kernel Memory.",()=> KernelMemory.Run()},
-        {"Exit", ()=> Task.CompletedTask}
+        { "Run a chat session without stripping the role names.", ChatSessionWithRoleName.Run },
+        { "Run a chat session with the role names stripped.", ChatSessionStripRoleName.Run },
+        { "Interactive mode chat by using executor.", InteractiveModeExecute.Run },
+        { "Instruct mode chat by using executor.", InstructModeExecute.Run },
+        { "Stateless mode chat by using executor.", StatelessModeExecute.Run },
+        { "Load and save chat session.", SaveAndLoadSession.Run },
+        { "Load and save state of model and executor.", LoadAndSaveState.Run },
+        { "Get embeddings from LLama model.", () => Task.Run(GetEmbeddings.Run) },
+        { "Quantize the model.", () => Task.Run(QuantizeModel.Run) },
+        { "Automatic conversation.", TalkToYourself.Run },
+        { "Constrain response to json format using grammar.", GrammarJsonResponse.Run },
+        { "Semantic Kernel Prompt.", SemanticKernelPrompt.Run },
+        { "Semantic Kernel Chat.", SemanticKernelChat.Run },
+        { "Semantic Kernel Memory.", SemanticKernelMemory.Run },
+        { "Coding Assistant.", CodingAssistant.Run },
+        { "Batch Decoding.", BatchedDecoding.Run },
+        { "SK Kernel Memory.", KernelMemory.Run },
+        { "Exit", async () => Environment.Exit(0) }
     };
+
     public static async Task Run()
     {
         AnsiConsole.Write(new Rule("LLamaSharp Examples"));
@@ -36,13 +37,8 @@ public class Runner
                     .Title("Please choose[green] an example[/] to run: ")
                     .AddChoices(Examples.Keys));
 
-
             if (Examples.TryGetValue(choice, out var example))
             {
-                if (choice == "Exit")
-                {
-                    break;
-                }
                 AnsiConsole.Write(new Rule(choice));
                 await example();
             }