Welcome back! In the previous lesson, you learned how to integrate API requests to create a dynamic tutor interface. This allowed for real-time communication between the student and the server, enhancing the interactivity of our educational application. Today, we will build on that foundation by adding query suggestions to our tutor interface. Query suggestions are predefined prompts that students can select to quickly send common educational questions. This feature not only improves the learning experience by making interactions more efficient but also guides students in formulating their academic inquiries.

To implement query suggestions, we will add suggestion buttons to our tutor interface using the Askama template engine. These buttons represent common learning assistance requests that students might have, such as asking for help with math, science, or history topics. By clicking on these buttons, students can quickly send these queries without typing them out manually.

In our Askama template, we define a section for suggestions using a container with the class suggestions. Inside this container, we place several buttons, each with a class of suggestion-btn. Each button is configured to fill the input field with a predefined prompt and immediately send the query when clicked. This is achieved by setting the input value and calling the function responsible for sending the query.

Here is how the suggestion buttons are defined in the Askama template:

Each button is labeled according to the type of assistance it provides:

• "Math Help" for requesting explanations of mathematical concepts;
• "Science Inquiry" for asking about scientific principles;
• "History Analysis" for seeking insights into historical events.

By placing these suggestion buttons above the chat container and input elements, we ensure that students can easily access them as they interact with the tutor interface. This setup allows students to interact with the tutor more efficiently by selecting from these predefined learning assistance requests, making the educational experience more supportive and structured.

The logic behind the query suggestions is handled by the client-side code included in the template. When a student clicks a suggestion button, the button's action sets the input field to the predefined prompt and immediately triggers the function that sends the query to the server.

This is accomplished with the following logic:

When the button is clicked, the value of the input field is set to the prompt (for example, "Explain the Pythagorean theorem"), and then the sendQuery() function is called. The sendQuery() function is responsible for sending the student's question to the server and displaying the response in the chat interface.

This seamless integration allows students to quickly send predefined academic questions, enhancing the overall learning experience.

In this lesson, you learned how to enhance your tutor application by adding query suggestions. We covered the implementation of suggestion buttons, the logic for populating the input field, and the integration of these features. This addition makes your tutor interface more student-friendly and efficient, guiding users toward well-formulated academic questions.

As you move on to the practice exercises, focus on reinforcing these concepts and experimenting with the code. This hands-on practice will deepen your understanding and prepare you for the next unit, where we will focus on styling the interface to make it visually appealing. Keep up the great work, and let's continue building this exciting educational application together!