Actualizo app.py, agrego nueva arquitectura Mori
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app.py
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# -*- coding: utf-8 -*-
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"""Mori – Inferencia Técnica (estable, UTF-8, con opción RAG ON/OFF)"""
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from pathlib import Path
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import torch
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from
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HF_TOKEN = os.environ.get("HF_TOKEN")
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#***************************************************************************
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# -*- coding: utf-8 -*-
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"""Mori – Inferencia Técnica (estable, UTF-8, con opción RAG ON/OFF)"""
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# =============================================================================
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# Imports
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# =============================================================================
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import os
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import csv
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import json
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import random
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import uuid
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from pathlib import Path
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import datetime as dt
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import numpy as np
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import streamlit as st
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import torch
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, AutoModelForCausalLM
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from Mori_TechnicalPrompts import (
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answer_with_mori_rag,
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answer_with_mori_plain,
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answer_with_qwen_base,
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)
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# Si tus modelos son públicos, no necesitas login ni hf_hub_download.
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# from huggingface_hub import hf_hub_download, login
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# =============================================================================
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# Configuración general
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# =============================================================================
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device = "cuda" if torch.cuda.is_available() else "cpu"
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# Token privado (solo si vas a usar modelos privados)
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HF_TOKEN = os.environ.get("HF_TOKEN")
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#***************************************************************************
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