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import streamlit as st |
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from ..text_analysis.morpho_analysis import perform_advanced_morphosyntactic_analysis |
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from ..database.morphosintax_mongo_db import store_student_morphosyntax_result |
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from ..chatbot.chatbot import process_chat_input |
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def process_morphosyntactic_input(user_input, lang_code, nlp_models, t): |
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if user_input.startswith('/analisis_morfosintactico'): |
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text_to_analyze = user_input.split('[', 1)[1].rsplit(']', 1)[0] |
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result = perform_advanced_morphosyntactic_analysis(text_to_analyze, nlp_models[lang_code]) |
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if result is None or 'arc_diagrams' not in result: |
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response = t.get('morphosyntactic_analysis_error', 'Error in morphosyntactic analysis') |
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return response, None, None |
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response = t.get('morphosyntactic_analysis_completed', 'Morphosyntactic analysis completed') |
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visualizations = result['arc_diagrams'] |
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store_student_morphosyntax_result( |
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st.session_state.username, |
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text_to_analyze, |
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visualizations |
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) |
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return response, visualizations, result |
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else: |
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chatbot = st.session_state.morphosyntax_chat_input |
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response = chatbot.generate_response(user_input, lang_code) |
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return response, None, None |
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def format_analysis_response(result, t, lang_code): |
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pass |
