Fix intent code start issue.

src/Infrastructure/BotSharp.Core/Templating/ResponseTemplateService.cs

@@ -7,9 +7,12 @@ namespace BotSharp.Core.Templating;
 public class ResponseTemplateService : IResponseTemplateService
 {
     private readonly IServiceProvider _services;
-    public ResponseTemplateService(IServiceProvider services)
+    private readonly ILogger _logger;
+
+    public ResponseTemplateService(IServiceProvider services, ILogger<ResponseTemplateService> logger)
     {
         _services = services;
+        _logger = logger;
     }
 
     public async Task<string> RenderFunctionResponse(string agentId, RoleDialogModel message)
@@ -33,9 +36,17 @@ public class ResponseTemplateService : IResponseTemplateService
 
         // Convert args and execute data to dictionary
         var dict = new Dictionary<string, object>();
-        ExtractArgs(JsonSerializer.Deserialize<JsonDocument>(message.FunctionArgs), dict);
-        ExtractExecuteData(message.ExecutionData, dict);
 
+        if (message.FunctionArgs != null)
+        {
+            ExtractArgs(JsonSerializer.Deserialize<JsonDocument>(message.FunctionArgs), dict);
+        }
+
+        if (message.ExecutionData != null)
+        {
+            ExtractExecuteData(message.ExecutionData, dict);
+        }
+            
         var text = render.Render(template, dict);
 
         return text;

src/Plugins/BotSharp.Plugin.MetaAI/Providers/fastTextEmbeddingProvider.cs

@@ -15,10 +15,7 @@ public class fastTextEmbeddingProvider : ITextEmbedding
     {
         get
         {
-            if (!_fastText.IsModelReady())
-            {
-                _fastText.LoadModel(_settings.ModelPath);
-            }
+            LoadModel();
             return _fastText.GetModelDimension();
         }
     }

src/Plugins/BotSharp.Plugin.RoutingSpeeder/Providers/IntentClassifier.cs

@@ -53,12 +53,14 @@ public class IntentClassifier
         
         var vector = _services.GetRequiredService<ITextEmbedding>();
 
+        var labels = GetLabels();
+
         var layers = new List<ILayer>
         {
             keras.layers.InputLayer((vector.Dimension), name: "Input"),
             keras.layers.Dense(256, activation:"relu"),
             keras.layers.Dense(256, activation:"relu"),
-            keras.layers.Dense(GetFiles().Length, activation: keras.activations.Softmax)
+            keras.layers.Dense(labels.Length, activation: keras.activations.Softmax)
         };
         _model = keras.Sequential(layers);
 
@@ -235,7 +237,6 @@ public class IntentClassifier
 
         var prediction = GetLabels()[probLabel[0]];
 
-
         return prediction;
     }
     public void InitClassifer()
@@ -249,8 +250,8 @@ public class IntentClassifier
     {
         var trainingParams = new TrainingParams();
         Reset();
-        Build();
         (var x, var y) = PrepareLoadData();
+        Build();
         Fit(x, y, trainingParams);
 
     }

src/WebStarter/appsettings.json

@@ -47,14 +47,14 @@
     }
   },
 
-    "MetaAi": {
-        "fastText": {
-            "ModelPath": "crawl-300d-2M-subword.bin"
-        }
-    },
+  "MetaAi": {
+    "fastText": {
+      "ModelPath": "dbpedia.ftz"
+    }
+  },
 
-    "RoutingSpeeder": {
-    },
+  "RoutingSpeeder": {
+  },
 
   "MetaMessenger": {
     "Endpoint": "https://graph.facebook.com",