modules/chatbot/old_files/chatbot-Old.py

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 ...