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Update modules/semantic/semantic_interface.py
Browse files
modules/semantic/semantic_interface.py
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@@ -208,11 +208,11 @@ def display_semantic_results(semantic_result, lang_code, semantic_t):
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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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#
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st.markdown(
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"""
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<style>
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.
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background-color: white;
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border-radius: 10px;
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padding: 20px;
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@@ -228,30 +228,18 @@ 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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f'<img src="data:image/png;base64,{graph_base64}" alt="Concept Graph" style="width:100%;"/>',
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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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- 🔀 {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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@@ -272,7 +260,5 @@ def display_semantic_results(semantic_result, lang_code, semantic_t):
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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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#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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# Aplicar estilos directamente al contenedor de Streamlit
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st.markdown(
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"""
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<style>
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.stContainer {
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background-color: white;
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border-radius: 10px;
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padding: 20px;
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""",
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unsafe_allow_html=True
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)
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# Mostrar el gráfico directamente sin el div adicional
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graph_bytes = analysis['concept_graph']
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graph_base64 = base64.b64encode(graph_bytes).decode()
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st.markdown(
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f'<img src="data:image/png;base64,{graph_base64}" alt="Concept Graph" style="width:100%;"/>',
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unsafe_allow_html=True
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)
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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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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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########################################################################################
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