def embedding_output(X):
maxLen = 10
embd_dim = 50
embedding_out = np.zeros((X.shape[0], maxLen, embd_dim))
for ix in range(X.shape[0]): #every sentence
X[ix] = X[ix].split()
for ij in range(len(X[ix])): #every word
try:
embedding_out[ix][ij] = embeddings_index[X[ix][ij]]
except:
embedding_out[ix][ij] = np.zeros((50,))
return embedding_out