import os
from groq import Groq 
import gradio as gr
    
client = Groq(api_key = os.environ.get("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"), )

system_prompt = {
                "role": "system",
                "content":
                "You are a useful assistant. You reply with efficient answers. "
                }

async def chat_groq(message, history):
    
    messages = [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 = 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

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

demo.queue()
demo.launch()