revert h2p import reorder

resources/app/python/xvapitch/text/text_preprocessing.py

@@ -8,6 +8,7 @@ import glob
 from unidecode import unidecode
 # from g2pc import G2pC
 
+from h2p_parser.h2p import H2p
 from num2words import num2words
 import pykakasi
 import epitran
@@ -15,7 +16,6 @@ import epitran
 import nltk
 nltk.download('punkt', quiet=True)
 from nltk.tokenize import word_tokenize
-from h2p_parser.h2p import H2p
 
 # I really need to find a better way to do this (handling many different possible entry points)
 try: