# Generate message using Bedrock Llama 3
def generate_message(category):
    prompt = f"""
    You are an AI assistant supporting Alcoholics Anonymous (AA) members. Generate a **personalized email** based on the engagement category.

    **Engagement Category:** {category}

    **Personalization Instructions:**
    - The email should be in plain text.
    - Include a **motivational message** appropriate to the engagement category.
    - Do not include any programming code or syntax.
    - The email should **only include the signature once**: "Aneesh Hariharan, Your Friendly Rehab Administrator."
    - Ensure no redundant signatures are added.
    - Include a couple of relevant emojis in the message

    Return a **motivating email** of 2-3 sentences, without any extra comments or code. Keep it friendly and positive.
    """
    payload = {
        "modelId": "us.meta.llama3-1-70b-instruct-v1:0",
        "contentType": "application/json",
        "accept": "application/json",
        "body": json.dumps({"prompt": prompt, "max_gen_len": 512, "temperature": 0.5, "top_p": 0.9})
    }
    
    try:
        response = bedrock.invoke_model(**payload)
        result = json.loads(response['body'].read().decode())