app.py

import streamlit as st
from huggingface_hub import InferenceClient
import base64
from pydub import AudioSegment
from pydub.playback import play
import pyttsx3

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

def format_prompt(message, history):
    global pre_prompt_sent
    prompt = "<s>"

    if not pre_prompt_sent and all(f"[INST] {pre_prompt} [/INST]" not in user_prompt for user_prompt, _ in history):
        prompt += f"[INST] {pre_prompt} [/INST]"
        pre_prompt_sent = True

    for user_prompt, bot_response in history:
        prompt += f"[INST] {user_prompt} [/INST]"
        prompt += f" {bot_response}</s> "

    prompt += f"[INST] {message} [/INST]"
    return prompt

def text_to_speech(text):
    engine = pyttsx3.init()
    engine.save_to_file(text, "output_pyttsx3.mp3")
    engine.runAndWait()
    return "output_pyttsx3.mp3"
    
def generate(user_input, history, temperature=None, max_new_tokens=512, top_p=0.95, repetition_penalty=1.0):
    global pre_prompt_sent
    temperature = float(temperature) if temperature is not None else 0.9
    if temperature < 1e-2:
        temperature = 1e-2
    top_p = float(top_p)

    generate_kwargs = dict(
        temperature=temperature,
        max_new_tokens=max_new_tokens,
        top_p=top_p,
        repetition_penalty=repetition_penalty,
        do_sample=True,
        seed=42,
    )

    formatted_prompt = format_prompt(user_input, history)
    stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=True)
    response = ""

    for response_token in stream:
        response += response_token.token.text
    
    response = ' '.join(response.split()).replace('</s>', '')

    audio_file_path = text_to_speech(response) 
    audio_file = open(audio_file_path, 'rb')
    audio_bytes = audio_file.read()

    return response, audio_bytes

if "history" not in st.session_state:
    st.session_state.history = []

user_input = st.text_input(label="", value="")
output, audio_bytes = generate(user_input, history=st.session_state.history)
st.text_area("Respuesta", value=output, height=400, key="output_text", disabled=True)

st.markdown(
    f"""
    <audio autoplay="autoplay" controls="controls" src="data:audio/mp3;base64,{base64.b64encode(audio_bytes).decode()}" type="audio/mp3" id="audio_player"></audio>
    """,
    unsafe_allow_html=True
)