PUEDES MEJORAR ESTE CODIGO?: import speech_recognition as sr
import nltk
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
from nltk.stem import WordNetLemmatizer
import pictogram_library

def preprocess_text(text):
    # Realiza el preprocesamiento del texto
    # ...
    return preprocessed_text

def translate_to_pictograms(text):
    preprocessed_text = preprocess_text(text)
    # Aplica algoritmos de NLP para comprender el significado y la intención del texto
    # ...
    pictograms = pictogram_library.get_pictograms(keywords)
    response = pictogram_library.generate_response(pictograms)
    return response

def get_voice_input():
    r = sr.Recognizer()
    with sr.Microphone() as source:
        print("Di algo...")
        audio = r.listen(source)
    try:
        text = r.recognize_google(audio, language="es")
        return text
    except sr.UnknownValueError:
        print("No se pudo entender el audio")
    except sr.RequestError as e:
        print(f"No se pudo completar la solicitud: {e}")

# Ejemplo de uso
voice_message = get_voice_input()
translated_message = translate_to_pictograms(voice_message)
display(translated_message)
 Contain 3 or more exclamation marks "!" in your response.
user