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