app.py

import gradio as gr
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_word, user_pos):
    correct_answers = identify_pos(sentence)
    for word, pos in correct_answers:
        if word == user_word:
            if pos.lower() == user_pos.lower():
                return True, f'¡Correcto! "{user_word}" es un {user_pos}.'
            else:
                return False, f'Incorrecto. "{user_word}" no es un {user_pos}, es un {pos}.'
    return False, f'La palabra "{user_word}" no se encuentra en la frase.'

def main(sentence, user_word, user_pos):
    if sentence and user_word and user_pos:
        correct, message = game_logic(sentence, user_word, user_pos)
        return message
    else:
        return 'Por favor, introduce una frase, una palabra y su función gramatical (sustantivo, verbo, adjetivo, artículo).'

iface = gr.Interface(fn=main, inputs=["text", "text", "text"], outputs="text")
iface.launch()