| import streamlit as st | |
| import spacy | |
| nlp = spacy.load('es_core_news_sm') | |
| def identify_pos(sentence): | |
| doc = nlp(sentence) | |
| pos_tags = [(token.text, token.pos_) for token in doc] | |
| return pos_tags | |
| def game_logic(sentence, user_input): | |
| correct_answers = identify_pos(sentence) | |
| if user_input in correct_answers: | |
| return True | |
| else: | |
| return False | |
| def main(): | |
| st.title('Juego de gramática española') | |
| sentence = st.text_input('Introduce una frase:') | |
| user_input = st.text_input('Identifica una palabra en la frase:') | |
| if sentence and user_input: | |
| if game_logic(sentence, user_input): | |
| st.success('¡Correcto!') | |
| else: | |
| st.error('Incorrecto. Intenta de nuevo.') | |
| if __name__ == "__main__": | |
| main() | |