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| import streamlit as st | |
| from ..text_analysis.morpho_analysis import perform_advanced_morphosyntactic_analysis | |
| from ..text_analysis.semantic_analysis import perform_semantic_analysis | |
| from ..text_analysis.discourse_analysis import perform_discourse_analysis | |
| class AIdeaTextChatbot: | |
| def __init__(self): | |
| self.conversation_history = [] | |
| def handle_morphosyntactic_input(self, user_input, lang_code, nlp_models, t): | |
| if user_input.startswith('/analisis_morfosintactico'): | |
| text_to_analyze = user_input.split('[', 1)[1].rsplit(']', 1)[0] | |
| result = perform_advanced_morphosyntactic_analysis(text_to_analyze, nlp_models[lang_code]) | |
| if result is None or 'arc_diagrams' not in result: | |
| return t.get('morphosyntactic_analysis_error', 'Error en el análisis morfosintáctico'), None, None | |
| return t.get('morphosyntactic_analysis_completed', 'Análisis morfosintáctico completado'), result['arc_diagrams'], result | |
| else: | |
| # Aquí puedes manejar otras interacciones relacionadas con el análisis morfosintáctico | |
| return self.generate_response(user_input, lang_code), None, None | |
| def handle_semantic_input(self, user_input, lang_code, nlp_models, t): | |
| # Implementar lógica para análisis semántico | |
| pass | |
| def handle_discourse_input(self, user_input, lang_code, nlp_models, t): | |
| # Implementar lógica para análisis de discurso | |
| pass | |
| def handle_generate_response(self, prompt, lang_code): | |
| # Aquí iría la lógica para generar respuestas generales del chatbot | |
| # Puedes usar la API de Claude aquí si lo deseas | |
| pass | |
| def initialize_chatbot(): | |
| return AIdeaTextChatbot() | |
| def process_chat_input(user_input, lang_code, nlp_models, analysis_type, t, file_contents=None): | |
| chatbot = st.session_state.get('aideatext_chatbot') | |
| if not chatbot: | |
| chatbot = initialize_chatbot() | |
| st.session_state.aideatext_chatbot = chatbot | |
| if analysis_type == 'morphosyntactic': | |
| return chatbot.handle_morphosyntactic_input(user_input, lang_code, nlp_models, t) | |
| # ... manejar otros tipos de análisis ... |