Removed unnecessary codes.

Author: VidyalakshmiMani

MAUI/DataForm/AI-Powered-Smart-DataForm.md

@@ -31,35 +31,7 @@ To connect your .NET MAUI app to Azure OpenAI, create a service class that handl
 /// </summary>
 internal class DataFormAIService : AzureBaseService
 {
-    /// <summary>
-    /// Retrieves an answer from the deployment name model using the provided user prompt.
-    /// </summary>
-    /// <param name="userPrompt">The user prompt.</param>
-    /// <returns>The AI response.</returns>
-    internal async Task<string> GetAnswerFromGPT(string userPrompt)
-    {
-        ChatHistory = string.Empty;
-        if (IsCredentialValid && Client != null && ChatHistory != null)
-        {
-            // Add the user's prompt as a user message to the conversation.
-            ChatHistory = ChatHistory + "You are a predictive analytics assistant.";
-            // Add the user's prompt as a user message to the conversation.
-            ChatHistory = ChatHistory + userPrompt;
-            try
-            {
-                //// Send the chat completion request to the OpenAI API and await the response.
-                var response = await Client.CompleteAsync(ChatHistory);
-                return response.ToString();
-            }
-            catch
-            {
-                // If an exception occurs (e.g., network issues, API errors), return an empty string.
-                return "";
-            }
-        }
-
-        return "";
-    }
+    
 }
 ```
 In this service, define a method called `GetAnswerFromGPT`. This method takes a user prompt from the SfAIAssistView control as input, sends it to the deployed model (e.g., GPT35Turbo), and returns the AI-generated response.