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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 login_register_page, display_student_progress, display_text_analysis_interface |
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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 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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def logged_in_interface(): |
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nlp_models = load_spacy_models() |
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languages = {'Español': 'es', 'English': 'en', 'Français': 'fr'} |
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selected_lang = st.sidebar.selectbox("Select Language / Seleccione el idioma / Choisissez la langue", list(languages.keys())) |
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lang_code = languages[selected_lang] |
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st.sidebar.title(f"Bienvenido, {st.session_state.username}") |
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if st.sidebar.button("Cerrar Sesión"): |
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st.session_state.logged_in = False |
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st.experimental_rerun() |
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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_text_analysis_interface(nlp_models, lang_code) |
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with tab2: |
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st.header("Análisis semántico") |
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st.write("Esta función aún no está implementada.") |
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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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if __name__ == "__main__": |
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main() |
