input: Write a function to create a simple linear regression model in Python using the sklearn library. The function should read data from a CSV file, train the model, make predictions, and visualize the result by plotting the original data points and the regression line.
  
  assert create_linear_regression_model('data.csv')==None
output: def create_linear_regression_model(csv_file):
      import pandas as pd
      from sklearn.linear_model import LinearRegression
      import matplotlib.pyplot as plt
  
      data = pd.read_csv(csv_file)
      X = data.iloc[:, 0].values.reshape(-1, 1)
      y = data.iloc[:, 1].values
  
      model = LinearRegression()
      model.fit(X, y)
  
      y_pred = model.predict(X)
  
      plt.scatter(X, y, color='blue')
      plt.plot(X, y_pred, color='red')
      plt.show()