Update modules/semantic/semantic_interface.py
Browse files
modules/semantic/semantic_interface.py
CHANGED
@@ -31,7 +31,7 @@ from ..database.semantic_export import export_user_interactions
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def display_semantic_interface(lang_code, nlp_models, semantic_t):
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"""
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Interfaz para el análisis semántico con controles
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"""
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try:
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# Inicializar estados
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@@ -42,26 +42,22 @@ def display_semantic_interface(lang_code, nlp_models, semantic_t):
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if 'semantic_analysis_done' not in st.session_state:
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st.session_state.semantic_analysis_done = False
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# Contenedor principal
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with st.container():
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st.
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#
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with col_file:
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uploaded_file = st.file_uploader(
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semantic_t.get('file_uploader', 'Upload
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type=['txt'],
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key=f"semantic_file_uploader_{st.session_state.semantic_analysis_counter}",
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on_change=lambda: handle_file_upload(uploaded_file)
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)
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#
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col1, col2, col3, col4 = st.columns([2, 2, 2, 6])
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with col1:
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analyze_button = st.button(
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semantic_t.get('analyze_button', 'Analyze Text'),
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disabled=not st.session_state.semantic_file_content,
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@@ -69,7 +65,8 @@ def display_semantic_interface(lang_code, nlp_models, semantic_t):
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key="analyze_semantic"
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)
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export_button = st.button(
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semantic_t.get('export_button', 'Export Analysis'),
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disabled=not st.session_state.semantic_analysis_done,
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@@ -77,55 +74,46 @@ def display_semantic_interface(lang_code, nlp_models, semantic_t):
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key="export_semantic"
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)
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disabled=not st.session_state.semantic_analysis_done,
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use_container_width=True,
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key="
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)
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else:
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st.error(semantic_t.get('error_message', 'Error saving analysis'))
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else:
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st.error(analysis_result['message'])
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except Exception as e:
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logger.error(f"Error en an��lisis semántico: {str(e)}")
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st.error(semantic_t.get('error_processing', f'Error processing text: {str(e)}'))
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# Manejo de exportación
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if export_button and st.session_state.semantic_analysis_done:
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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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@@ -134,41 +122,25 @@ def display_semantic_interface(lang_code, nlp_models, semantic_t):
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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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lang_code,
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semantic_t
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)
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elif not st.session_state.semantic_file_content:
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st.info(semantic_t.get('initial_message', 'Upload a file to begin analysis'))
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except Exception as e:
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logger.error(f"Error general en interfaz semántica: {str(e)}")
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st.error("Se produjo un error. Por favor, intente de nuevo.")
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def handle_file_upload(uploaded_file):
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"""Maneja la carga de archivos y mantiene el estado"""
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if uploaded_file is not None:
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try:
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content = uploaded_file.getvalue().decode('utf-8')
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st.session_state.semantic_file_content = content
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st.session_state.page = 'semantic' # Mantener en la página semántica
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except Exception as e:
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logger.error(f"Error al cargar archivo: {str(e)}")
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st.error("Error al cargar el archivo. Asegúrese de que es un archivo de texto válido.")
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st.session_state.semantic_file_content = None
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else:
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st.session_state.semantic_file_content = None
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# [Resto del código igual...] ###############################################################################################################
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def display_semantic_interface(lang_code, nlp_models, semantic_t):
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"""
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Interfaz para el análisis semántico con controles alineados horizontalmente
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"""
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try:
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# Inicializar estados
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if 'semantic_analysis_done' not in st.session_state:
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st.session_state.semantic_analysis_done = False
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# Contenedor principal para la fila de controles
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with st.container():
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# Crear una fila con cuatro columnas de igual ancho
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col1, col2, col3, col4 = st.columns([3, 1, 1, 1])
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# Columna 1: Carga de archivo
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with col1:
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uploaded_file = st.file_uploader(
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semantic_t.get('file_uploader', 'Upload TXT file'),
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type=['txt'],
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key=f"semantic_file_uploader_{st.session_state.semantic_analysis_counter}",
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on_change=lambda: handle_file_upload(uploaded_file)
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)
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# Columna 2: Botón de análisis
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with col2:
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analyze_button = st.button(
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semantic_t.get('analyze_button', 'Analyze Text'),
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disabled=not st.session_state.semantic_file_content,
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key="analyze_semantic"
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)
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# Columna 3: Botón de exportación
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with col3:
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export_button = st.button(
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semantic_t.get('export_button', 'Export Analysis'),
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disabled=not st.session_state.semantic_analysis_done,
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key="export_semantic"
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)
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# Columna 4: Botón de nuevo análisis
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with col4:
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new_analysis_button = st.button(
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semantic_t.get('new_analysis_button', 'New Analysis'),
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disabled=not st.session_state.semantic_analysis_done,
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use_container_width=True,
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key="new_semantic"
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)
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# Separador sutil
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st.markdown("<hr style='margin: 1em 0; padding: 0; opacity: 0.3'>", unsafe_allow_html=True)
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# Procesar análisis
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if analyze_button and st.session_state.semantic_file_content:
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try:
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with st.spinner(semantic_t.get('processing', 'Processing...')):
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doc = nlp_models[lang_code](st.session_state.semantic_file_content)
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# Usar spacy-streamlit para las visualizaciones
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st.markdown("### Semantic Analysis Results")
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# Visualizar entidades nombradas
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spacy_streamlit.visualize_ner(
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doc,
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labels=nlp_models[lang_code].get_pipe("ner").labels
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)
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# Visualizar dependencias sintácticas
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spacy_streamlit.visualize_parser(doc)
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st.session_state.semantic_analysis_done = True
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st.session_state.semantic_result = {'doc': doc}
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except Exception as e:
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logger.error(f"Error en análisis semántico: {str(e)}")
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st.error(semantic_t.get('error_processing', f'Error processing text: {str(e)}'))
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# Manejo de exportación
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if export_button and st.session_state.semantic_analysis_done:
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try:
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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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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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except Exception as e:
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st.error(f"Error exporting analysis: {str(e)}")
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# Manejo de nuevo análisis
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if new_analysis_button:
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st.session_state.semantic_file_content = None
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st.session_state.semantic_analysis_done = False
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st.session_state.semantic_result = None
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st.session_state.semantic_analysis_counter += 1
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st.rerun()
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# Mostrar mensaje inicial si no hay archivo
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if not st.session_state.semantic_file_content and not st.session_state.semantic_analysis_done:
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st.info(semantic_t.get('initial_message', 'Upload a TXT file to begin analysis'))
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except Exception as e:
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logger.error(f"Error general en interfaz semántica: {str(e)}")
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st.error("Se produjo un error. Por favor, intente de nuevo.")
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# [Resto del código igual...] ###############################################################################################################
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