input: Write a function to implement a machine learning algorithm in Python that identifies apples from bananas using a Support Vector Machine (SVM) with a linear kernel. The function should take no input and return the predictions for two test samples.
  assert identify_fruit()==[0, 1]
output: def identify_fruit():
      from sklearn import svm
      import numpy as np
      
      X_train = np.array([[1, 1], [2, 2], [3, 3], [4, 4]])
      y_train = np.array([0, 0, 1, 1])
      
      clf = svm.SVC(kernel='linear')
      clf.fit(X_train, y_train)
      
      X_test = np.array([[1.5, 1.5], [3.5, 3.5]])
      predictions = clf.predict(X_test)
      
      return predictions.tolist()