Update modules/ui.py
Browse files- modules/ui.py +32 -24
modules/ui.py
CHANGED
@@ -187,7 +187,8 @@ def display_chat_interface():
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st.session_state.chat_history.append(("bot", response))
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st.experimental_rerun()
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def display_student_progress(username, lang_code='es'):
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student_data = get_student_data(username)
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@@ -200,14 +201,14 @@ def display_student_progress(username, lang_code='es'):
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if student_data['entries_count'] > 0:
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# Mostrar el conteo de palabras
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if
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with st.expander("Total de palabras por categoría gramatical", expanded=False):
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df = pd.DataFrame(list(student_data['word_count'].items()), columns=['category', 'count'])
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df['label'] = df.apply(lambda x: f"{POS_TRANSLATIONS[lang_code].get(x['category'], x['category'])}", axis=1)
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df = df.sort_values('count', ascending=False)
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fig, ax = plt.subplots(figsize=(12, 6))
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bars = ax.bar(df['label'], df['count'], color=
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ax.set_xlabel('Categoría Gramatical')
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ax.set_ylabel('Cantidad de Palabras')
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@@ -220,42 +221,44 @@ def display_student_progress(username, lang_code='es'):
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plt.tight_layout()
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st.pyplot(fig)
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# Mostrar análisis morfosintáctico
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st.subheader(f"Análisis {i+1} - {entry['timestamp']}")
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st.write(entry['text'])
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for j, diagram in enumerate(entry
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st.subheader(f"Diagrama de Arco {j+1}")
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st.write(diagram, unsafe_allow_html=True)
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# Mostrar análisis semántico
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if 'semantic_analyses'
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with st.expander("Análisis Semántico - Diagramas de Red", expanded=False):
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for i, entry in enumerate(student_data['semantic_analyses']):
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st.subheader(f"Análisis Semántico {i+1} - {entry['timestamp']}")
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st.write(entry['text'])
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if 'network_diagram' in entry:
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image_bytes = base64.b64decode(entry['network_diagram'])
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st.image(image_bytes)
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# Mostrar análisis del discurso
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if 'discourse_analyses'
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with st.expander("Análisis del Discurso - Comparación de Grafos", expanded=False):
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for i, entry in enumerate(student_data['discourse_analyses']):
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st.subheader(f"Análisis del Discurso {i+1} - {entry['timestamp']}")
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st.write("Texto del documento patrón:")
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st.write(entry
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st.write("Texto del documento comparado:")
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st.write(entry
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if '
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with st.expander("Historial de Conversaciones del Chat", expanded=False):
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for i, chat in enumerate(student_data['chat_history']):
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st.subheader(f"Conversación {i+1} - {chat['timestamp']}")
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@@ -269,6 +272,11 @@ def display_student_progress(username, lang_code='es'):
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st.warning("No se encontraron entradas para este estudiante.")
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st.info("Intenta realizar algunos análisis de texto primero.")
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##################################################################################################
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def display_morphosyntax_analysis_interface(nlp_models, lang_code):
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translations = {
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st.session_state.chat_history.append(("bot", response))
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st.experimental_rerun()
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################################################################################
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# Funciones para Cosmos DB MongoDB API (análisis de texto)
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def display_student_progress(username, lang_code='es'):
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student_data = get_student_data(username)
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if student_data['entries_count'] > 0:
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# Mostrar el conteo de palabras
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if student_data['word_count']:
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with st.expander("Total de palabras por categoría gramatical", expanded=False):
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df = pd.DataFrame(list(student_data['word_count'].items()), columns=['category', 'count'])
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df['label'] = df.apply(lambda x: f"{POS_TRANSLATIONS[lang_code].get(x['category'], x['category'])}", axis=1)
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df = df.sort_values('count', ascending=False)
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fig, ax = plt.subplots(figsize=(12, 6))
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bars = ax.bar(df['label'], df['count'], color=df['category'])
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ax.set_xlabel('Categoría Gramatical')
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ax.set_ylabel('Cantidad de Palabras')
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plt.tight_layout()
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st.pyplot(fig)
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# Mostrar análisis morfosintáctico
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morphosyntax_entries = [entry for entry in student_data['entries'] if entry['analysis_type'] == 'morphosyntax']
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if morphosyntax_entries:
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with st.expander("Análisis Morfosintáctico - Diagramas de Arco", expanded=False):
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for i, entry in enumerate(morphosyntax_entries):
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st.subheader(f"Análisis {i+1} - {entry['timestamp']}")
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st.write(entry['text'])
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for j, diagram in enumerate(entry.get('arc_diagrams', [])):
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st.subheader(f"Diagrama de Arco {j+1}")
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st.write(diagram, unsafe_allow_html=True)
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# Mostrar análisis semántico
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if student_data['semantic_analyses']:
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with st.expander("Análisis Semántico - Diagramas de Red", expanded=False):
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for i, entry in enumerate(student_data['semantic_analyses']):
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st.subheader(f"Análisis Semántico {i+1} - {entry['timestamp']}")
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st.write(entry['text'])
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if 'network_diagram' in entry:
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image_bytes = base64.b64decode(entry['network_diagram'])
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st.image(image_bytes)
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# Mostrar análisis del discurso
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if student_data['discourse_analyses']:
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with st.expander("Análisis del Discurso - Comparación de Grafos", expanded=False):
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for i, entry in enumerate(student_data['discourse_analyses']):
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st.subheader(f"Análisis del Discurso {i+1} - {entry['timestamp']}")
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st.write("Texto del documento patrón:")
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st.write(entry.get('text1', 'No disponible'))
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st.write("Texto del documento comparado:")
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st.write(entry.get('text2', 'No disponible'))
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if 'graph1' in entry:
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st.image(base64.b64decode(entry['graph1']))
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if 'graph2' in entry:
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st.image(base64.b64decode(entry['graph2']))
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# Mostrar conversaciones del chat
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if student_data['chat_history']:
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with st.expander("Historial de Conversaciones del Chat", expanded=False):
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for i, chat in enumerate(student_data['chat_history']):
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st.subheader(f"Conversación {i+1} - {chat['timestamp']}")
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st.warning("No se encontraron entradas para este estudiante.")
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st.info("Intenta realizar algunos análisis de texto primero.")
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# Añadir logs para depuración
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st.write("Datos del estudiante (para depuración):")
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st.json(student_data)
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##################################################################################################
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def display_morphosyntax_analysis_interface(nlp_models, lang_code):
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translations = {
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