app.py

import gradio as gr
from transformers import pipeline

# Modelo
generator = pipeline("text-generation", model="gpt2")

def responder(message, history):
    history = history or []

    prompt = "Eres Intelarya.ai, una IA educativa que explica paso a paso de forma clara.\n\n"

    for msg in history:
        if msg["role"] == "user":
            prompt += f"Usuario: {msg['content']}\n"
        else:
            prompt += f"Intelarya: {msg['content']}\n"

    prompt += f"Usuario: {message}\nIntelarya:"

    result = generator(prompt, max_length=150, do_sample=True, temperature=0.7)
    response = result[0]["generated_text"].split("Intelarya:")[-1].strip()

    history.append({"role": "user", "content": message})
    history.append({"role": "assistant", "content": response})

    return history, history

with gr.Blocks() as demo:
    gr.Markdown("# 💎 intelarya.ai")
    gr.Markdown("Aprende más rápido. Entiende mejor. Sin complicaciones.")

    chatbot = gr.Chatbot(type="messages")
    msg = gr.Textbox(placeholder="Escribe tu tarea aquí...")

    state = gr.State([])

    msg.submit(responder, [msg, state], [chatbot, state])

demo.launch()