from groq import Groq
from pydantic import BaseModel, ValidationError
from typing import List, Literal
import os

groq_client = Groq(api_key=os.environ["GROQ_API_KEY"])

class DialogueItem(BaseModel):
    speaker: Literal["Host", "Guest"]
    text: str

class Dialogue(BaseModel):
    dialogue: List[DialogueItem]

def generate_script(system_prompt: str, input_text: str, tone: str):
    input_text = truncate_text(input_text)
    prompt = f"{system_prompt}\nTONE: {tone}\nINPUT TEXT: {input_text}"
    
    response = groq_client.chat.completions.create(
        messages=[
            {"role": "system", "content": prompt},
        ],
        model="llama-3.1-70b-versatile",  # Updated to the correct model name
        max_tokens=2048,
        temperature=0.7
    )
    
    try:
        dialogue = Dialogue.model_validate_json(response.choices[0].message.content)
    except ValidationError as e:
        raise ValueError(f"Failed to parse dialogue JSON: {e}")
    
    return dialogue

# Make sure the truncate_text function is defined here or imported if it's in another file