Update app.py
Browse files
app.py
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#app.py
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import streamlit as st
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from modules.database import initialize_mongodb_connection
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from modules.auth import authenticate_user, get_user_role, register_user
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from modules.ui import
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from modules.spacy_utils import load_spacy_models
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import time
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st.set_page_config(page_title="AIdeaText", layout="wide", page_icon="random")
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def logged_in_interface():
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nlp_models
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languages = {'Español': 'es', 'English': 'en', 'Français': 'fr'}
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# Crear un contenedor para la barra superior
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with st.container():
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# Usar más columnas para un mejor control del espacio
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col1, col2, col3, col4, col5 = st.columns([1, 1, 0.8, 1, 1])
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with col1:
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st.markdown(f"<h3 style='margin-bottom: 0;'>Bienvenido, {st.session_state.username}</h3>", unsafe_allow_html=True)
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with col3:
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st.markdown("<p style='font-size: 1.2rem; margin-bottom: 0; padding-top: 15px;'>Selecciona el idioma del texto que
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with col4:
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st.markdown("""
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<style>
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.stSelectbox { margin-left: -20px; }
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div[data-testid="stSelectbox"] {
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margin-top: 0px;
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margin-bottom: 10px;
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}
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</style>
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""", unsafe_allow_html=True)
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selected_lang = st.selectbox("", list(languages.keys()), key="language_selector", label_visibility="collapsed")
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lang_code = languages[selected_lang]
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with col5:
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st.markdown("""
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<style>
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div[data-testid="stButton"] {
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margin-top: 0px;
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margin-bottom: 10px;
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}
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div[data-testid="stButton"] > button {
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width: 100%;
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padding: 8px 10px;
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font-size: 1rem;
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}
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</style>
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@@ -54,31 +57,26 @@ def logged_in_interface():
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st.session_state.logged_in = False
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st.experimental_rerun()
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##############################################################Añadir una línea divisoria#########################################################
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st.markdown("---")
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tab1, tab2, tab3, tab4 = st.tabs(["Análisis morfosintáctico", "Análisis semántico", "Análisis semántico discursivo", "Mi Progreso"])
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with tab1:
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with tab2:
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display_semantic_analysis_interface(nlp_models, lang_code)
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with tab3:
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st.header("Análisis semántico discursivo")
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st.write("Esta función aún no está implementada.")
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with tab4:
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display_student_progress(st.session_state.username, lang_code)
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def main():
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if not initialize_mongodb_connection():
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st.warning("La conexión a la base de datos MongoDB no está disponible. Algunas funciones pueden no estar operativas.")
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if 'logged_in' not in st.session_state:
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st.session_state.logged_in = False
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if not st.session_state.logged_in:
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login_register_page()
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else:
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# app.py
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import streamlit as st
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from modules.database import initialize_mongodb_connection
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from modules.auth import authenticate_user, get_user_role, register_user
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from modules.ui import (
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login_register_page,
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display_student_progress,
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display_morphosyntax_analysis_interface,
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display_semantic_analysis_interface
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)
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from modules.spacy_utils import load_spacy_models
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import time
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st.set_page_config(page_title="AIdeaText", layout="wide", page_icon="random")
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def logged_in_interface():
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if 'nlp_models' not in st.session_state:
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st.session_state.nlp_models = load_spacy_models()
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languages = {'Español': 'es', 'English': 'en', 'Français': 'fr'}
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# Crear un contenedor para la barra superior
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with st.container():
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# Usar más columnas para un mejor control del espacio
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col1, col2, col3, col4, col5 = st.columns([1, 1, 0.8, 1, 1])
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with col1:
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st.markdown(f"<h3 style='margin-bottom: 0;'>Bienvenido, {st.session_state.username}</h3>", unsafe_allow_html=True)
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with col3:
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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)
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with col4:
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st.markdown("""
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<style>
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.stSelectbox { margin-left: -20px; }
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div[data-testid="stSelectbox"] {
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margin-top: 0px;
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margin-bottom: 10px;
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}
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</style>
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""", unsafe_allow_html=True)
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selected_lang = st.selectbox("", list(languages.keys()), key="language_selector", label_visibility="collapsed")
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lang_code = languages[selected_lang]
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with col5:
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st.markdown("""
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<style>
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div[data-testid="stButton"] {
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margin-top: 0px;
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margin-bottom: 10px;
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}
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div[data-testid="stButton"] > button {
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width: 100%;
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padding: 8px 10px;
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font-size: 1rem;
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}
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</style>
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st.session_state.logged_in = False
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st.experimental_rerun()
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st.markdown("---")
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tab1, tab2, tab3, tab4 = st.tabs(["Análisis morfosintáctico", "Análisis semántico", "Análisis semántico discursivo", "Mi Progreso"])
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with tab1:
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display_morphosyntax_analysis_interface(st.session_state.nlp_models, lang_code)
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with tab2:
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display_semantic_analysis_interface(st.session_state.nlp_models, lang_code)
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with tab3:
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st.header("Análisis semántico discursivo")
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st.write("Esta función aún no está implementada.")
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with tab4:
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display_student_progress(st.session_state.username, lang_code)
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def main():
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if not initialize_mongodb_connection():
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st.warning("La conexión a la base de datos MongoDB no está disponible. Algunas funciones pueden no estar operativas.")
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+
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if 'logged_in' not in st.session_state:
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st.session_state.logged_in = False
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if not st.session_state.logged_in:
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login_register_page()
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else:
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