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#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_text_analysis_interface
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():
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([4, 1, 3, 1, 2])
with col1:
st.markdown(f"<h3 style='margin-bottom: 0;'>Bienvenido, {st.session_state.username}</h3>", unsafe_allow_html=True)
with col3:
st.markdown("""
<style>
.language-container {
display: flex;
align-items: center;
gap: 10px;
}
.language-label {
font-size: 1.2rem;
white-space: nowrap;
}
div[data-baseweb="select"] {
flex-grow: 1;
}
div[data-baseweb="select"] > div {
font-size: 1.0rem;
}
</style>
<div class="language-container">
<span class="language-label">Idioma:</span>
<div id="language-select-placeholder"></div>
</div>
""", unsafe_allow_html=True)
selected_lang = st.selectbox("", list(languages.keys()), key="language_selector", label_visibility="collapsed")
lang_code = languages[selected_lang]
# Mover el select al placeholder
st.markdown("""
<script>
var placeholder = document.getElementById('language-select-placeholder');
var select = document.querySelector('[data-baseweb="select"]');
placeholder.parentNode.replaceChild(select, placeholder);
</script>
""", unsafe_allow_html=True)
with col5:
if st.button("Cerrar Sesión"):
st.session_state.logged_in = False
st.experimental_rerun()
# Añadir una línea divisoria
st.markdown("---")
tab1, tab2, tab3, tab4 = st.tabs(["Análisis morfosintáctico", "Análisis semántico", "Análisis semántico discursivo", "Mi Progreso"])
with tab1:
display_text_analysis_interface(nlp_models, lang_code)
with tab2:
st.header("Análisis semántico")
st.write("Esta función aún no está implementada.")
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() |