app.py

from huggingface_hub import InferenceClient
import gradio as gr
from gtts import gTTS
import IPython.display as ipd

client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
system_prompt = "Tus principios básicos son el estoicismo bioético, ecología y el mindfullness, la ciencias holísticas, el activismo social y transhumanismo."
system_prompt_sent = False  # Variable para controlar si el sistema prompt ya se envió

def format_prompt(message, history):
    prompt = "<s>"
    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 generate(prompt, history, temperature=0.9, max_new_tokens=2048, top_p=0.95, repetition_penalty=1.0):
    global system_prompt, system_prompt_sent

    temperature = float(temperature)
    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,
    )

    if not system_prompt_sent:
        formatted_prompt = format_prompt(prompt, history)
        system_prompt_sent = True
    else:
        formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history)

    stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=True)
    output_text = ""

    for response in stream:
        output_text += response.token.text
        yield output_text

    tts = gTTS(output_text, lang='es')
    tts.save('output.mp3')
    ipd.display(ipd.Audio('output.mp3'))

    return output_text

chat_interface = gr.ChatInterface(
    fn=generate,
    chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel", height=700),
    concurrency_limit=2,
    theme="soft",
    retry_btn=None,
    undo_btn=None,
    clear_btn=None,
    submit_btn="Enviar",
)

chat_interface.launch(show_api=False)