Кириллица при парсинге из ВК в tkinter

import tkinter as tk
from tkinter import messagebox
from tkinter.scrolledtext import ScrolledText
import vk_api
import warnings
import fasttext
import xml.etree.ElementTree as ET
from datetime import datetime
import re
 
fasttext.FastText.eprint = lambda x: None
warnings.filterwarnings("ignore", category=DeprecationWarning)
 
from dostoevsky.tokenization import RegexTokenizer
from dostoevsky.models import FastTextSocialNetworkModel
 
def analyze_text(text):
    tokenizer = RegexTokenizer()
    model = FastTextSocialNetworkModel(tokenizer=tokenizer)
    results = model.predict([text], k=1)
    return results[0]
 
def print_sentiment(sentiment_scores):
    if "positive" in sentiment_scores and "negative" in sentiment_scores:
        if sentiment_scores["positive"] > sentiment_scores["negative"]:
            return "Положительное"
        elif sentiment_scores["positive"] < sentiment_scores["negative"]:
            return "Негативное"
        else:
            return "Нейтральное"
    elif "positive" in sentiment_scores:
        return "Положительное"
    elif "negative" in sentiment_scores:
        return "Негативное"
    else:
        return "Нейтральное"
 
def sanitize_text(text):
    # Используем регулярное выражение для удаления символов, вызывающих ошибку в Tkinter
    return re.sub(r'[^\x00-\x7F]+', '', text)
 
def save_to_xml(community_name, overall_sentiment):
    current_date = datetime.now().strftime("%Y-%m-%d")
 
    root = ET.Element("CommunitySentiment")
    community = ET.SubElement(root, "Community")
    ET.SubElement(community, "Name").text = community_name
    ET.SubElement(community, "Date").text = current_date
    ET.SubElement(community, "OverallSentiment").text = overall_sentiment
 
    tree = ET.ElementTree(root)
    filename = f"{community_name}_sentiment.xml"
 
    try:
        tree = ET.parse(filename)
        root = tree.getroot()
 
        for elem in root.findall(".//Community"):
            if elem.find("Date").text == current_date:
                elem.find("OverallSentiment").text = overall_sentiment
                tree.write(filename, encoding="utf-8", xml_declaration=True)
                return
        else:
            community = ET.SubElement(root, "Community")
            ET.SubElement(community, "Name").text = community_name
            ET.SubElement(community, "Date").text = current_date
            ET.SubElement(community, "OverallSentiment").text = overall_sentiment
            tree.write(filename, encoding="utf-8", xml_declaration=True)
    except FileNotFoundError:
        tree.write(filename, encoding="utf-8", xml_declaration=True)
 
def analyze_community():
    token = "a126bba9a126bba9a126bba9f9a2314926aa126a126bba9c7fb15b2ea"
 
    vk_session = vk_api.VkApi(token=token)
    vk = vk_session.get_api()
 
    link = link_entry.get()
    group_id = link.split("/")[-1]
 
    name = name_entry.get()
 
    posts = vk.wall.get(domain=group_id, count=10)["items"]
 
    positive_sentiment_score = 0
    negative_sentiment_score = 0
    neutral_sentiment_score = 0
    total_posts_analyzed = 0
    total_comments_analyzed = 0
 
    results = ""
 
    for post in posts:
        post_sentiment = analyze_text(post["text"])
        results += f"Оценка поста: {print_sentiment(post_sentiment)}\n"
        results += f"Пост:\n{sanitize_text(post['text'])}\n\n"
 
        total_posts_analyzed += 1
        if "positive" in post_sentiment:
            positive_sentiment_score += 1
        if "negative" in post_sentiment:
            negative_sentiment_score += 2  # Увеличиваем вес негативных оценок
        if "neutral" in post_sentiment:
            neutral_sentiment_score += 1
 
        comments = vk.wall.getComments(owner_id=post["owner_id"], post_id=post["id"], count=100)["items"]
        total_comments_analyzed += len(comments)
 
        if comments:
            for comment in comments:
                comment_sentiment = analyze_text(comment["text"])
                results += f"Оценка комментария: {print_sentiment(comment_sentiment)}\n"
                results += f"{sanitize_text(comment['text'])}\n\n"
 
                if "positive" in comment_sentiment:
                    positive_sentiment_score += 1
                if "negative" in comment_sentiment:
                    negative_sentiment_score += 2  # Увеличиваем вес негативных оценок
                if "neutral" in comment_sentiment:
                    neutral_sentiment_score += 1
 
    if negative_sentiment_score > positive_sentiment_score:
        overall_sentiment = "Негативное"
    elif negative_sentiment_score < positive_sentiment_score:
        overall_sentiment = "Положительное"
    else:
        overall_sentiment = "Нейтральное"
 
    results += f"Общее настроение в сообществе: {overall_sentiment}\n"
    results += f"Анализировано постов: {total_posts_analyzed}\n"
    results += f"Анализировано комментариев: {total_comments_analyzed}\n"
 
    results_text.delete(1.0, tk.END)
    results_text.insert(tk.END, results)
 
    save_to_xml(name, overall_sentiment)
 
root = tk.Tk()
root.title("Анализ сообщества ВКонтакте")
 
link_label = tk.Label(root, text="Ссылка на сообщество:")
link_label.grid(row=0, column=0, sticky="w")
link_entry = tk.Entry(root, width=50)
link_entry.grid(row=0, column=1)
 
name_label = tk.Label(root, text="Наименование сообщества:")
name_label.grid(row=1, column=0, sticky="w")
name_entry = tk.Entry(root, width=50)
name_entry.grid(row=1, column=1)
 
analyze_button = tk.Button(root, text="Анализировать", command=analyze_community)
analyze_button.grid(row=2, column=0, columnspan=2, pady=10)
 
results_text = ScrolledText(root, width=70, height=20)
results_text.grid(row=3, column=0, columnspan=2, pady=10)
 
root.mainloop()

    return re.sub(r'', '', text)

    return text

    return re.sub(r'[\x00-\x1F\x7F\xA0]/u', '', text)