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

groq_client = Groq()
tokenizer = tiktoken.get_encoding("cl100k_base")

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

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

def truncate_text(text, max_tokens=2048):
    tokens = tokenizer.encode(text)
    if len(tokens) > max_tokens:
        return tokenizer.decode(tokens[:max_tokens])
    return text

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="llama2-70b-4096",
        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

def generate_audio(text: str, speaker: str) -> str:
    tts = gTTS(text, lang='en', tld='com' if speaker == "Host" else 'co.uk')
    filename = f"{speaker.lower()}_audio.mp3"
    tts.save(filename)
    return filename