Update modules/morphosyntax/morphosyntax_interface.py
Browse files
modules/morphosyntax/morphosyntax_interface.py
CHANGED
@@ -4,7 +4,9 @@ from streamlit_float import *
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from streamlit_antd_components import *
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from streamlit.components.v1 import html
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import base64
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from .morphosyntax_process import process_morphosyntactic_input, format_analysis_results
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from ..utils.widget_utils import generate_unique_key
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from ..database.morphosintax_mongo_db import store_student_morphosyntax_result
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from ..database.chat_db import store_chat_history
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@@ -13,19 +15,12 @@ from ..database.morphosintaxis_export import export_user_interactions
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import logging
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logger = logging.getLogger(__name__)
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def display_morphosyntax_interface(lang_code, nlp_models, t):
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"""
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Interfaz para el an谩lisis morfosint谩ctico
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Args:
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lang_code: C贸digo del idioma actual
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nlp_models: Modelos de spaCy cargados
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t: Diccionario de traducciones
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"""
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# Asegurarnos de que estamos accediendo al diccionario MORPHOSYNTACTIC
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morpho_t = t.get('MORPHOSYNTACTIC', {})
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st.title(morpho_t.get('title', 'AIdeaText - Morphological and Syntactic Analysis'))
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input_key = f"morphosyntax_input_{lang_code}"
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if input_key not in st.session_state:
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@@ -36,49 +31,51 @@ def display_morphosyntax_interface(lang_code, nlp_models, t):
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height=150,
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placeholder=morpho_t.get('morpho_input_placeholder', 'Enter your text here...'),
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value=st.session_state[input_key],
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key=f"text_area_{lang_code}"
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on_change=lambda: setattr(st.session_state, input_key, st.session_state[f"text_area_{lang_code}"])
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)
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if st.button(morpho_t.get('analyze_button', 'Analyze'), key=f"analyze_button_{lang_code}"):
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st.
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else:
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st.error(
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else:
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st.warning(morpho_t.get('warning_message', 'Please enter a text to analyze.'))
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elif 'morphosyntax_result' in st.session_state and st.session_state.morphosyntax_result is not None:
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# Si hay un resultado guardado, mostrarlo
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display_morphosyntax_results(st.session_state.morphosyntax_result, lang_code, morpho_t)
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else:
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st.info(morpho_t.get('morpho_initial_message', 'Enter text to begin analysis.'))
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'''
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if user_input:
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from streamlit_antd_components import *
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from streamlit.components.v1 import html
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import base64
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from .morphosyntax_process import process_morphosyntactic_input, format_analysis_results
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from ..utils.widget_utils import generate_unique_key
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from ..database.morphosintax_mongo_db import store_student_morphosyntax_result
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from ..database.chat_db import store_chat_history
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import logging
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logger = logging.getLogger(__name__)
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def display_morphosyntax_interface(lang_code, nlp_models, t):
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"""
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Interfaz para el an谩lisis morfosint谩ctico
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"""
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morpho_t = t.get('MORPHOSYNTACTIC', {})
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st.title(morpho_t.get('title', 'AIdeaText - Morphological Analysis'))
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input_key = f"morphosyntax_input_{lang_code}"
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if input_key not in st.session_state:
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height=150,
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placeholder=morpho_t.get('morpho_input_placeholder', 'Enter your text here...'),
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value=st.session_state[input_key],
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key=f"text_area_{lang_code}"
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)
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if st.button(morpho_t.get('analyze_button', 'Analyze'), key=f"analyze_button_{lang_code}"):
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if sentence_input:
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# Usar el proceso morfosint谩ctico actualizado
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result = process_morphosyntactic_input(
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sentence_input,
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lang_code,
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nlp_models,
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t
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)
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if result['success']:
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# Formatear y mostrar resultados
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formatted_results = format_analysis_results(result, t)
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# Mostrar texto resaltado si est谩 disponible
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if formatted_results['highlighted_text']:
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st.markdown(formatted_results['highlighted_text'], unsafe_allow_html=True)
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# Mostrar el an谩lisis formateado
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st.markdown(formatted_results['formatted_text'])
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# Mostrar visualizaciones
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if formatted_results['visualizations']:
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for i, viz in enumerate(formatted_results['visualizations']):
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st.markdown(f"**{morpho_t.get('sentence', 'Sentence')} {i+1}**")
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st.components.v1.html(viz, height=370, scrolling=True)
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if i < len(formatted_results['visualizations']) - 1:
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st.markdown("---")
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else:
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st.error(result['message'])
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else:
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st.warning(morpho_t.get('warning_message', 'Please enter a text to analyze.'))
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# Bot贸n de exportaci贸n
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if st.button(morpho_t.get('export_button', 'Export Analysis')):
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pdf_buffer = export_user_interactions(st.session_state.username, 'morphosyntax')
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st.download_button(
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label=morpho_t.get('download_pdf', 'Download PDF'),
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data=pdf_buffer,
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file_name="morphosyntax_analysis.pdf",
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mime="application/pdf"
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)
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'''
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if user_input:
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