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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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with st.container(): |
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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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""", unsafe_allow_html=True) |
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if st.button("Cerrar Sesión", key="logout_button"): |
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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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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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logged_in_interface() |
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if __name__ == "__main__": |
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main() |
