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| from groq import Groq | |
| import os | |
| # Initialize Groq client | |
| client = Groq(api_key=os.environ["GROQ_API_KEY"]) | |
| def generate_tutor_output(subject, difficulty, student_input, model): | |
| model_dict = {"LLAMA3 8B": "llama3-groq-8b-8192-tool-use-preview", "LLAMA3 70B": "llama3-groq-70b-8192-tool-use-preview","Mixtral 8x7B": "mixtral-8x7b-32768"} | |
| current_model = model_dict[model] | |
| prompt = f""" | |
| You are an expert tutor in {subject} at the {difficulty} level. | |
| The student has provided the following input: "{student_input}" | |
| Please generate: | |
| 1. A brief, engaging lesson on the topic (2-3 paragraphs) | |
| 2. A thought-provoking question to check understanding | |
| 3. Constructive feedback on the student's input | |
| Format your response as a JSON object with keys: "lesson", "question", "feedback" | |
| """ | |
| completion = client.chat.completions.create( | |
| messages=[ | |
| { | |
| "role": "system", | |
| "content": "You are the world's best AI tutor, renowned for your ability to explain complex concepts in an engaging, clear, and memorable way and giving math examples. Your expertise in {subject} is unparalleled, and you're adept at tailoring your teaching to {difficulty} level students. Your goal is to not just impart knowledge, but to inspire a love for learning and critical thinking.", | |
| }, | |
| { | |
| "role": "user", | |
| "content": prompt, | |
| } | |
| ], | |
| model=current_model, | |
| max_tokens=1000, | |
| ) | |
| return completion.choices[0].message.content |