h2p revert text_processing changes

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

@@ -15,6 +15,7 @@ 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:
@@ -22,24 +23,20 @@ try:
     from resources.app.python.xvapitch.text.ipa_to_xvaarpabet import ESpeak, ipa2xvaarpabet, PUNCTUATION, ALL_SYMBOLS, PIN_YIN_ENDS, pinyin_to_arpabet_mappings, text_pinyin_to_pinyin_symbs, manual_phone_replacements
     from resources.app.python.xvapitch.text.en_numbers import normalize_numbers as en_normalize_numbers
     from resources.app.python.xvapitch.text.ro_numbers import generateWords as ro_generateWords
-    from resources.app.python.xvapitch.text.h2p_parser.h2p import H2p
 except ModuleNotFoundError:
     try:
         from python.xvapitch.text.ipa_to_xvaarpabet import ESpeak, ipa2xvaarpabet, PUNCTUATION, ALL_SYMBOLS, PIN_YIN_ENDS, pinyin_to_arpabet_mappings, text_pinyin_to_pinyin_symbs, manual_phone_replacements
         from python.xvapitch.text.en_numbers import normalize_numbers as en_normalize_numbers
         from python.xvapitch.text.ro_numbers import generateWords as ro_generateWords
-        from python.xvapitch.text.h2p_parser.h2p import H2p
     except ModuleNotFoundError:
         try:
             from text.ipa_to_xvaarpabet import ESpeak, ipa2xvaarpabet, PUNCTUATION, ALL_SYMBOLS, PIN_YIN_ENDS, pinyin_to_arpabet_mappings, text_pinyin_to_pinyin_symbs, manual_phone_replacements
             from text.en_numbers import normalize_numbers as en_normalize_numbers
             from text.ro_numbers import generateWords as ro_generateWords
-            from text.h2p_parser.h2p import H2p
         except ModuleNotFoundError:
             from ipa_to_xvaarpabet import ESpeak, ipa2xvaarpabet, PUNCTUATION, ALL_SYMBOLS, PIN_YIN_ENDS, pinyin_to_arpabet_mappings, text_pinyin_to_pinyin_symbs, manual_phone_replacements
             from en_numbers import normalize_numbers as en_normalize_numbers
             from ro_numbers import generateWords as ro_generateWords
-            from h2p_parser.h2p import H2p