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import pathlib
import os

def visitfiles(top, visit, topdown=True, onerror=None, followlinks=False):
    for root, dirs, files in os.walk(top, topdown, onerror, followlinks):
        for file in files:
            p = pathlib.Path(root) / file
            visit(p)

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Button {
    padding-left: 1;
    padding-right: 1;
}

TextInput {
    layout: horizontal;
    height: 3;
    background: $panel-darken-1;
    border: tall $panel-darken-2;

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from __future__ import annotations

import string
import code
import sys
import io
from typing import Callable

from textual.app import App
from textual.widgets import Header, ScrollView

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def sent_tokenize(text, tokenizer):
    return tokenizer.tokenize(text)

def word_tokenize(text, tokenizer, preserve_line=False):
    sentences = [text] if preserve_line else sent_tokenize(text, tokenizer)
    return [
        token for sent in sentences for token in _treebank_word_tokenizer.tokenize(sent)
    ]

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import pandas as pd
import numpy as np
import sklearn
from nltk import corpus
from wordcloud import WordCloud

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from nltk.corpus import twitter_samples

positive_tweets = twitter_samples.strings('positive_tweets.json')
negative_tweets = twitter_samples.strings('negative_tweets.json')
text = twitter_samples.strings('tweets.20150430-223406.json')
tweet_tokens = twitter_samples.tokenized('positive_tweets.json')