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