app.py

# app.py
import streamlit as st
from modules.database import initialize_mongodb_connection
from modules.auth import authenticate_user, get_user_role, register_user
from modules.ui import (
    login_register_page, 
    display_student_progress, 
    display_morphosyntax_analysis_interface, 
    display_semantic_analysis_interface, 
    display_discourse_analysis_interface
)
from modules.discourse_analysis import perform_discourse_analysis
from modules.spacy_utils import load_spacy_models
import time

st.set_page_config(page_title="AIdeaText", layout="wide", page_icon="random")

def logged_in_interface():
    if 'nlp_models' not in st.session_state:
        st.session_state.nlp_models = load_spacy_models()
    
    languages = {'Español': 'es', 'English': 'en', 'Français': 'fr'}
    
    # Crear un contenedor para la barra superior
    with st.container():
        # Usar más columnas para un mejor control del espacio
        col1, col2, col3, col4, col5 = st.columns([1, 1, 0.8, 1, 1])
        with col1:
            st.markdown(f"<h3 style='margin-bottom: 0;'>Bienvenido, {st.session_state.username}</h3>", unsafe_allow_html=True)
        with col3:
            st.markdown("<p style='font-size: 1.2rem; margin-bottom: 0; padding-top: 15px;'>Selecciona el idioma del texto que analizarás</p>", unsafe_allow_html=True)
        with col4:
            st.markdown("""
            <style>
            .stSelectbox { margin-left: -20px; }
            div[data-testid="stSelectbox"] {
                margin-top: 0px;
                margin-bottom: 10px;
            }
            </style>
            """, unsafe_allow_html=True)
            selected_lang = st.selectbox("", list(languages.keys()), key="language_selector", label_visibility="collapsed")
            lang_code = languages[selected_lang]
        with col5:
            st.markdown("""
            <style>
            div[data-testid="stButton"] {
                margin-top: 0px;
                margin-bottom: 10px;
            }
            div[data-testid="stButton"] > button {
                width: 100%;
                padding: 8px 10px;
                font-size: 1rem;
            }
            </style>
            """, unsafe_allow_html=True)
            if st.button("Cerrar Sesión", key="logout_button"):
                st.session_state.logged_in = False
                st.experimental_rerun()

    st.markdown("---")
    tab1, tab2, tab3, tab4 = st.tabs(["Análisis morfosintáctico", "Análisis semántico", "Análisis semántico discursivo", "Mi Progreso"])
    
    with tab1:
        display_morphosyntax_analysis_interface(st.session_state.nlp_models, lang_code)
    with tab2:
        display_semantic_analysis_interface(st.session_state.nlp_models, lang_code)
    with tab3:
        st.header("Análisis semántico discursivo")
        st.write("Esta función aún no está implementada.")
    with tab4:
        display_student_progress(st.session_state.username, lang_code)

def main():
    if not initialize_mongodb_connection():
        st.warning("La conexión a la base de datos MongoDB no está disponible. Algunas funciones pueden no estar operativas.")
    
    if 'logged_in' not in st.session_state:
        st.session_state.logged_in = False
    
    if not st.session_state.logged_in:
        login_register_page()
    else:
        logged_in_interface()

if __name__ == "__main__":
    main()