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Update modules/semantic/semantic_interface.py
Browse files
modules/semantic/semantic_interface.py
CHANGED
@@ -52,7 +52,7 @@ def display_semantic_interface(lang_code, nlp_models, semantic_t):
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key=f"semantic_file_uploader_{st.session_state.semantic_state['analysis_count']}"
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)
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-
# Verificar si hay un archivo cargado y un análisis pendiente
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if uploaded_file is not None and st.session_state.semantic_state.get('pending_analysis', False):
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try:
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with st.spinner(semantic_t.get('processing', 'Processing...')):
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@@ -124,10 +124,10 @@ def display_semantic_interface(lang_code, nlp_models, semantic_t):
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# Mostrar mensaje sobre el análisis actual
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st.info(
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semantic_t.get('current_analysis_message',
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)
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display_semantic_results(
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st.session_state.semantic_result,
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lang_code,
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@@ -204,7 +204,8 @@ def display_semantic_results(semantic_result, lang_code, semantic_t):
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st.info(semantic_t.get('no_concepts', 'No key concepts found'))
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# Gráfico de conceptos
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st.subheader(semantic_t.get('concept_graph', 'Concepts Graph'))
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if 'concept_graph' in analysis and analysis['concept_graph'] is not None:
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try:
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# Container para el grafo con estilos mejorados
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@@ -227,6 +228,7 @@ def display_semantic_results(semantic_result, lang_code, semantic_t):
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""",
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unsafe_allow_html=True
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)
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with st.container():
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st.markdown('<div class="graph-container">', unsafe_allow_html=True)
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@@ -240,57 +242,35 @@ def display_semantic_results(semantic_result, lang_code, semantic_t):
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)
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# Leyenda del grafo
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st.caption(semantic_t.get(
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))
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st.markdown('</div>', unsafe_allow_html=True)
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# Contenedor para botones
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col1, col2 = st.columns([1,4])
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with col1:
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st.download_button(
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label="📥 " + semantic_t.get('
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data=graph_bytes,
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file_name="semantic_graph.png",
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mime="image/png",
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use_container_width=True
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)
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# Expandible con la interpretación
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with st.expander("📊 " + semantic_t.get('graph_help', "Graph Interpretation")):
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st.markdown("""
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- 🔀 Las flechas indican la dirección de la relación entre conceptos
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- 🎨 Los colores más intensos indican conceptos más centrales en el texto
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- ⭕ El tamaño de los nodos representa la frecuencia del concepto
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- ↔️ El grosor de las líneas indica la fuerza de la conexión
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""")
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except Exception as e:
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logger.error(f"Error displaying graph: {str(e)}")
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st.error(semantic_t.get('graph_error', 'Error displaying the graph'))
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else:
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st.info(semantic_t.get('no_graph', 'No concept graph available'))
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-
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########################################################################################
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'''
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# Botón de exportación al final
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if 'semantic_analysis_counter' in st.session_state:
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col1, col2, col3 = st.columns([2,1,2])
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with col2:
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if st.button(
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semantic_t.get('export_button', 'Export Analysis'),
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key=f"semantic_export_{st.session_state.semantic_analysis_counter}",
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use_container_width=True
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):
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pdf_buffer = export_user_interactions(st.session_state.username, 'semantic')
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st.download_button(
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label=semantic_t.get('download_pdf', 'Download PDF'),
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data=pdf_buffer,
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file_name="semantic_analysis.pdf",
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mime="application/pdf",
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key=f"semantic_download_{st.session_state.semantic_analysis_counter}"
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)
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'''
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key=f"semantic_file_uploader_{st.session_state.semantic_state['analysis_count']}"
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)
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+
# 2.1 Verificar si hay un archivo cargado y un análisis pendiente
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if uploaded_file is not None and st.session_state.semantic_state.get('pending_analysis', False):
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try:
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with st.spinner(semantic_t.get('processing', 'Processing...')):
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# Mostrar mensaje sobre el análisis actual
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st.info(
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semantic_t.get('current_analysis_message',
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'Mostrando análisis del archivo: {}. Para realizar un nuevo análisis, cargue otro archivo.'
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).format(st.session_state.semantic_state["current_file"])
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)
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+
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display_semantic_results(
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st.session_state.semantic_result,
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lang_code,
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st.info(semantic_t.get('no_concepts', 'No key concepts found'))
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# Gráfico de conceptos
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# st.subheader(semantic_t.get('concept_graph', 'Concepts Graph'))
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#Colocar aquí el bloque de código
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if 'concept_graph' in analysis and analysis['concept_graph'] is not None:
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try:
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# Container para el grafo con estilos mejorados
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""",
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unsafe_allow_html=True
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)
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#Colocar aquí el bloque de código
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with st.container():
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st.markdown('<div class="graph-container">', unsafe_allow_html=True)
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)
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# Leyenda del grafo
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#st.caption(semantic_t.get(
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# 'graph_description',
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# 'Visualización de relaciones entre conceptos clave identificados en el texto.'
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#))
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st.markdown('</div>', unsafe_allow_html=True)
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# Expandible con la interpretación
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with st.expander("📊 " + semantic_t.get('semantic_graph_interpretation', "Interpretación del gráfico semántico")):
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st.markdown(f"""
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- 🔀 {semantic_t.get('semantic_arrow_meaning', 'Las flechas indican la dirección de la relación entre conceptos')}
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- 🎨 {semantic_t.get('semantic_color_meaning', 'Los colores más intensos indican conceptos más centrales en el texto')}
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- ⭕ {semantic_t.get('semantic_size_meaning', 'El tamaño de los nodos representa la frecuencia del concepto')}
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- ↔️ {semantic_t.get('semantic_thickness_meaning', 'El grosor de las líneas indica la fuerza de la conexión')}
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""")
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# Contenedor para botones
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col1, col2 = st.columns([1,4])
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with col1:
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st.download_button(
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label="📥 " + semantic_t.get('download_semantic_network_graph', "Descargar gráfico de red semántica"),
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data=graph_bytes,
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file_name="semantic_graph.png",
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mime="image/png",
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use_container_width=True
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)
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except Exception as e:
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logger.error(f"Error displaying graph: {str(e)}")
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st.error(semantic_t.get('graph_error', 'Error displaying the graph'))
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else:
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st.info(semantic_t.get('no_graph', 'No concept graph available'))
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