from huggingface_hub import InferenceClient
import gradio as gr

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

def format_prompt(message, history):
  prompt = "<s>[INST] # I want you to act as a content marketing consultant. # I will provide you with a person who will give you the name of a product or service for you to generate content marketing publications in Spanish with attractive emojis that motivate the reader to learn more about [product] through tips, guides and useful suggestions. # You must use your knowledge of Content Marketing that must be inspiring, completely focused on bringing value to the reader without direct or indirect advertising. # Generate long content, at least 5 short relevant paragraphs. Check that the previous content is not repeated. # Generate content with paragraphs between 10 and 20 words. Check that previous content is not repeated. # Use attractive emojis and titles such as: \"The 5 best tricks for [action]\". \"The ultimate beginner\'s guide to [topic].\" \"Want [result]? I show you how to achieve it in 5 steps.\" # Use practical tips such as: \"With these 5 tips you\'ll get [result].\" \"Five innovative ways to use [product] in your daily life.\" # Educational content: \"The most common mistakes and how to avoid them.\" \"Myths and truths about [topic].\" \"The latest trends you need to know about.\" # Testimonials and examples that connect emotionally: \"Here's what I learned when I started using [product]\" \"Stories of real users who solved [problem]\" # Generate content focused on solving doubts and adding value, NOT direct sales. Surprise me with your best ideas! # Always answers in AMERICAN SPANISH. Stop after finish the first content marketing genreated. [/INST]</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=0.2, max_new_tokens=16392, top_p=0.95, repetition_penalty=1.0,
):
    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,
    )

    formatted_prompt = format_prompt(prompt, history)
    
    stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
    output = ""

    for response in stream:
        output += response.token.text
        yield output
    return output

mychatbot = gr.Chatbot(
   avatar_images=["./user.png", "./botm.png"], bubble_full_width=False, show_label=False, show_copy_button=True, likeable=True,)

demo = gr.ChatInterface(fn=generate,  
                        chatbot=mychatbot,
                        title="Bot con I.A. para crear MARKETING DE CONTENIDOS de productos.</p>", 
                        description="<p style='line-height: 0.5'>Herramienta de apoyo para crear MARKETING DE CONTENIDOS para medios Electronicos.</p><br>"+
                        "<p style='line-height: 1'>Si desea usar otro BOT de I.A. escoja:</p>"+
                        "  <a href='https://alphayomega-bot-mc.hf.space'>Marketing de Contenidos |</a>    "+
                        "  <a href='https://alphayomega-bot-tit.hf.space'> Creacion de TITULOS |</a> "+
                        "  <a href='https://alphayomega-bot-dp.hf.space'> Descripcion de Productos |</a>"+
                        "  <a href='https://alphayomega-bot-cp.hf.space'> Caracteristicas de Productos |</a> "+
                        "  <a href='https://wa.me/51927929109'> Desarrollado por MAGNET IMPACT - Agencia de Marketing Digital </a>",
                        retry_btn=None,
                        undo_btn=None
                       )

demo.queue().launch(show_api=False)

# Obtener y mostrar URL
url = demo.url
print("URL del chatbot: ", url)