File size: 3,300 Bytes
3b70165 8b38f52 813a290 8b38f52 3b70165 8b38f52 3b70165 813a290 3b70165 9173494 aa91d57 1e863b9 3b70165 88aea46 aa91d57 3b70165 aa91d57 1e863b9 c4c5749 def0b85 3b70165 def0b85 3b70165 def0b85 88aea46 1e863b9 8b38f52 9173494 8b38f52 3b70165 8b38f52 3b70165 8b38f52 3b70165 8b38f52 813a290 8b38f52 813a290 8b38f52 c5c97b1 3b70165 c5c97b1 3b70165 c5c97b1 813a290 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 |
# 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
)
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() |