Learning advisor chatbot
You are developing a personalized learning advisor chatbot that recommends textbooks for users. The chatbot's role is to receive queries from learners about their background, experience, and goals, and accordingly, recommends a learning path of textbooks, including both beginner-level and more advanced options. Your job is to create a role-playing system_prompt for the textbook recommendation chatbot, highlighting what it is expected to do while interacting with the users.
The OpenAI package, and the get_response() function have been pre-loaded for you.
This exercise is part of the course
Prompt Engineering with the OpenAI API
Exercise instructions
- Define a role-playing
system_promptthat tells the bot to act as a learning advisor who can interpret learner queries as described and provide the relevant textbook recommendations.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
client = OpenAI(api_key="")
# Craft the system_prompt using the role-playing approach
system_prompt = "____"
user_prompt = "Hello there! I'm a beginner with a marketing background, and I'm really interested in learning about Python, data analytics, and machine learning. Can you recommend some books?"
response = get_response(system_prompt, user_prompt)
print(response)