create a use case diagram

\begin{tabular}{|c|c|} \hline Use Case Name & Student Inquiry Response \\ \hline Use Case Description & \begin{tabular}{l} Handling user inquiries about university-related information, with the chatbot model providing \\ responses in either English or Turkish based on the user's language preference. \end{tabular} \\ \hline Primary Actor(s) & User \\ \hline Supporting Actor(s) & \begin{tabular}{l} - Chatbot Model (provides responses in selected language) \\ - Widget (interface for interaction and language selection) \end{tabular} \\ \hline Pre-Condition & \begin{tabular}{l} - The chatbot widget is operational and accessible on the university website or platform. \\ - The chatbot models for both English and Turkish are trained and ready to respond to \\ queries. \end{tabular} \\ \hline Post-Condition & \begin{tabular}{l} - The user receives a relevant and accurate response in their chosen language. \\ - The interaction is recorded for analytics and further enhancement of the chatbot models. \end{tabular} \\ \hline Normal Flow & \begin{tabular}{l} 1 - The user accesses the chatbot widget on the university website or platform. \\ 2 - The user selects their preferred language (English or Turkish) on the widget. \\ 3 - The user inputs a query related to university services, courses, facilities, or other information. \\ 4 - The widget sends the query to the appropriate chatbot model based on the selected language. \\ 5 - The chatbot model processes the query and formulates the response. \\ 6 - The chatbot model sends the response back to the widget in the selected language. \\ 7 - The widget displays the response to the user in their chosen language. \end{tabular} \\ \hline Altemate Flow & \begin{tabular}{l} 6.1-If the chatbot model cannot understand the query or lacks the information to respond, it \\ informs the user in the selected language. \end{tabular} \\ \hline \end{tabular}