input: Write a Python function to extract text from the specified HTML elements, clean it by removing unnecessary tags, and store it into a SQLite database.
  assert store_text_in_db('http://www.thelatinlibrary.com/johannes.html', 'texts.db')==expected_output
  assert store_text_in_db('http://example.com/sample.html', 'sample_texts.db')==expected_output
output: import sqlite3
  import requests
  from bs4 import BeautifulSoup
  
  def store_text_in_db(url, db_name):
      response = requests.get(url)
      soup = BeautifulSoup(response.content, 'html.parser')
  
      # Extract text from all <p> tags
      paragraphs = soup.find_all('p')
      text_content = ' '.join([p.get_text() for p in paragraphs])
  
      # Connect to the SQLite database
      conn = sqlite3.connect(db_name)
      cursor = conn.cursor()
  
      # Create table if it doesn't exist
      cursor.execute('''
      CREATE TABLE IF NOT EXISTS Texts (
          id INTEGER PRIMARY KEY AUTOINCREMENT,
          content TEXT
      )
      ''')
  
      # Insert the extracted text into the database
      cursor.execute('INSERT INTO Texts (content) VALUES (?)', (text_content,))
      conn.commit()
      conn.close()
  
      return True