input: Write a python function to create a dataframe from a list of articles and labels.
  assert create_dataframe(['NASA unveiled the Mars 2020 mission on Wednesday, a rover that will search for traces of ancient Martian life while performing geological studies of the red planet.'], ['technology']).equals(pd.DataFrame({'Text': ['NASA unveiled the Mars 2020 mission on Wednesday, a rover that will search for traces of ancient Martian life while performing geological studies of the red planet.'], 'Label': ['technology']}))
  assert create_dataframe(['Article 1', 'Article 2'], ['label1', 'label2']).equals(pd.DataFrame({'Text': ['Article 1', 'Article 2'], 'Label': ['label1', 'label2']}))
output: import pandas as pd
  
  def create_dataframe(articles, labels):
      return pd.DataFrame({'Text': articles, 'Label': labels})