input: Write a function that implements a simple linear regression model in Python. The function should read data from a CSV file, train the model using the provided X and Y data, and then visualize the results by plotting the original data points and the predicted regression line.
  
  assert simple_linear_regression("data.csv")==None
output: def simple_linear_regression(file_path):
      import pandas as pd
      import matplotlib.pyplot as plt
      from sklearn.linear_model import LinearRegression
  
      data = pd.read_csv(file_path)
      X = data.iloc[:, 0].values.reshape(-1, 1)
      Y = data.iloc[:, 1].values.reshape(-1, 1)
  
      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()