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Update modules/semantic/semantic_interface.py
Browse files
modules/semantic/semantic_interface.py
CHANGED
@@ -142,10 +142,10 @@ def display_semantic_interface(lang_code, nlp_models, semantic_t):
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#######################################
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def display_semantic_results(semantic_result, lang_code, semantic_t):
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"""
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Muestra los resultados del análisis semántico de conceptos clave.
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Versión optimizada sin div contenedor del gráfico.
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"""
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if semantic_result is None or not semantic_result['success']:
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st.warning(semantic_t.get('no_results', 'No results available'))
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@@ -153,66 +153,98 @@ def display_semantic_results(semantic_result, lang_code, semantic_t):
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analysis = semantic_result['analysis']
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# Mostrar conceptos clave en formato horizontal
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st.subheader(semantic_t.get('key_concepts', 'Key Concepts'))
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if 'key_concepts' in analysis and analysis['key_concepts']:
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else:
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st.info(semantic_t.get('no_concepts', 'No key concepts found'))
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#
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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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#
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st.image(
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analysis['concept_graph'],
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use_container_width=True
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caption=semantic_t.get('graph_description', 'Visualización de relaciones entre conceptos clave')
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)
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#
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with st.expander("📊 " + semantic_t.get('semantic_graph_interpretation', "Interpretación")):
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""")
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#
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st.download_button(
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label="📥 " + semantic_t.get('
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data=analysis['concept_graph'],
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file_name="
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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
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st.error(semantic_t.get('graph_error', 'Error
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else:
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st.info(semantic_t.get('no_graph', 'No
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#######################################
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+
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def display_semantic_results(semantic_result, lang_code, semantic_t):
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"""
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Muestra los resultados del análisis semántico de conceptos clave.
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"""
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if semantic_result is None or not semantic_result['success']:
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st.warning(semantic_t.get('no_results', 'No results available'))
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analysis = semantic_result['analysis']
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# Mostrar conceptos clave en formato horizontal (se mantiene igual)
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st.subheader(semantic_t.get('key_concepts', 'Key Concepts'))
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if 'key_concepts' in analysis and analysis['key_concepts']:
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df = pd.DataFrame(
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analysis['key_concepts'],
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columns=[
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semantic_t.get('concept', 'Concept'),
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semantic_t.get('frequency', 'Frequency')
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]
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)
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st.write(
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"""
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<style>
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.concept-table {
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display: flex;
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flex-wrap: wrap;
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gap: 10px;
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margin-bottom: 20px;
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}
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.concept-item {
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background-color: #f0f2f6;
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border-radius: 5px;
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padding: 8px 12px;
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display: flex;
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align-items: center;
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gap: 8px;
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}
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.concept-name {
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font-weight: bold;
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}
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.concept-freq {
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color: #666;
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font-size: 0.9em;
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}
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</style>
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<div class="concept-table">
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""" +
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''.join([
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f'<div class="concept-item"><span class="concept-name">{concept}</span>'
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f'<span class="concept-freq">({freq:.2f})</span></div>'
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for concept, freq in df.values
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]) +
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"</div>",
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unsafe_allow_html=True
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)
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else:
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st.info(semantic_t.get('no_concepts', 'No key concepts found'))
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# Gráfico de conceptos (versión modificada)
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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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# Sección del gráfico (sin div contenedor)
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st.image(
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analysis['concept_graph'],
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use_container_width=True
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)
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# Expandible con la interpretación (se mantiene igual)
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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 (se mantiene igual pero centrado)
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st.markdown("""
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<style>
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.download-btn-container {
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display: flex;
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justify-content: center;
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margin-top: 10px;
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}
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</style>
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<div class="download-btn-container">
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""", unsafe_allow_html=True)
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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=analysis['concept_graph'],
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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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st.markdown("</div>", unsafe_allow_html=True)
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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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