import spaces
import tempfile
import asyncio
import gradio as gr
from streaming_stt_nemo import Model
from huggingface_hub import InferenceClient
import edge_tts

default_lang = "en"
engines = {default_lang: Model(default_lang)}

def transcribe(audio):
    lang = "en"
    model = engines[lang]
    text = model.stt_file(audio)[0]
    return text

client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")

system_instructions = "[SYSTEM] Answer as Real OpenGPT 4o, Made by 'KingNish', Keep conversation very short, clear, friendly and concise. The text provided is a request for a specific type of response from you, the virtual assistant. You will avoid introductions and start answering the query directly, elaborating on all aspects of the request. As an AI-powered assistant, your task is to generate responses that appear as if they are created by the user and not an AI-powered assistant. [USER]"

def model(text):
    generate_kwargs = dict(
        temperature=0.7,
        max_new_tokens=512,
        top_p=0.95,
        repetition_penalty=1,
        do_sample=True,
        seed=42,
    )
    
    formatted_prompt = system_instructions + text + "[OpenGPT 4o]"
    stream = client.text_generation(
        formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
    output = ""
    for response in stream:
        if not response.token.text == "</s>":
            output += response.token.text

    return output

@spaces.GPU(duration=120)  # Increase duration if needed
async def respond(audio):
    user = transcribe(audio)
    reply = model(user)
    communicate = edge_tts.Communicate(reply)
    with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_file:
        tmp_path = tmp_file.name
        await communicate.save(tmp_path)
    return tmp_path

with gr.Blocks() as voice:   
    with gr.Row():
        input = gr.Audio(label="Voice Chat", source="microphone", type="filepath")
        output = gr.Audio(label="OpenGPT 4o", type="filepath", interactive=False, autoplay=True)
    
    gr.Interface(
        fn=respond,
        inputs=[input],
        outputs=[output],
        live=True,
    )

theme = gr.themes.Base()

with gr.Blocks(theme=theme, css="footer {visibility: hidden}textbox{resize:none}", title="GPT 4o DEMO") as demo:
    gr.Markdown("# OpenGPT 4o")
    gr.TabbedInterface([voice], ['🗣️ Voice Chat'])

demo.queue(max_size=200)
demo.launch()