input: from typing import Dict
  
  def linear_regression_model() -> Dict[str, str]:
      """ Create a simple linear regression model in Python and return a dictionary with the 
      keys 'model' and 'visualization' to represent the model creation process and the 
      visualization of the results respectively.
      >>> linear_regression_model() == {
      ...     'model': "import pandas as pd\nimport matplotlib.pyplot as plt\nfrom sklearn import linear_model\n\n# Read data from CSV\ndata = pd.read_csv('data.csv')\n\n# Set X and Y\nX = data['X']\nY = data['Y']\n\n# Create linear regression model\nmodel = linear_model.LinearRegression()\n\n# Train the model\nmodel.fit(X, Y)\n\n# Make predictions\nY_pred = model.predict(X)",
      ...     'visualization': "plt.scatter(X, Y)\nplt.plot(X, Y_pred, color='red')\nplt.show()"
      ... }
      True
      """
output:     return {
          'model': "import pandas as pd\nimport matplotlib.pyplot as plt\nfrom sklearn import linear_model\n\n# Read data from CSV\ndata = pd.read_csv('data.csv')\n\n# Set X and Y\nX = data['X']\nY = data['Y']\n\n# Create linear regression model\nmodel = linear_model.LinearRegression()\n\n# Train the model\nmodel.fit(X, Y)\n\n# Make predictions\nY_pred = model.predict(X)",
          'visualization': "plt.scatter(X, Y)\nplt.plot(X, Y_pred, color='red')\nplt.show()"
      }