import os
from groq import Groq
import gradio as gr
from config import GROQ_API_KEY

class ConversationalAI:
    def __init__(self):
        os.environ["GROQ_API_KEY"] = GROQ_API_KEY
        self.client = Groq()
        self.system_prompt = {
            "role": "system",
            "content": "You are a useful assistant. You reply with efficient answers. "
        }

    async def chat_groq(self, message, history):
        messages = [self.system_prompt]
        
        for msg in history:
            messages.append({"role": "user", "content": str(msg[0])})
            messages.append({"role": "assistant", "content": str(msg[1])})
        
        messages.append({"role": "user", "content": str(message)})
        
        response_content = ''
        
        stream = self.client.chat.completions.create(
                                                    model="llama3-70b-8192",
                                                    messages=messages,
                                                    max_tokens=1024,
                                                    temperature=1.3,
                                                    stream=True
                                                )

        for chunk in stream:
            content = chunk.choices[0].delta.content
            if content:
                response_content += chunk.choices[0].delta.content 
            yield response_content

    def create_chat_interface(self):
        with gr.Blocks(theme=gr.themes.Monochrome(), fill_height=True) as demo:
            gr.ChatInterface(self.chat_groq,
                             clear_btn=None, 
                             undo_btn=None, 
                             retry_btn=None,
                            )
        return demo

if __name__ == "__main__":
    ai = ConversationalAI()
    demo = ai.create_chat_interface()
    demo.queue()
    demo.launch()