Added some runnable applications of this model

accentuate.py

@@ -0,0 +1,71 @@
+# -*- coding: utf-8 -*-
+from __future__ import unicode_literals
+
+import pickle
+import numpy as np
+from keras.models import load_model
+import sys
+
+from prepare_data import *
+
+# obtain data from parameters
+if len(sys.argv) < 3:
+    print('Please provide arguments for this script to work. First argument should be location of file with unaccented words and morphological data '
+          'and second the name of file where you would like to save file to. Example: python accentuate.py \'test_data/unaccented_dictionary\' '
+          '\'test_data/accented_data\'')
+    raise Exception
+read_location = sys.argv[1]
+write_location = sys.argv[2]
+
+# get environment variables necessary for calculations
+pickle_input = open('preprocessed_data/environment.pkl', 'rb')
+environment = pickle.load(pickle_input)
+dictionary = environment['dictionary']
+max_word = environment['max_word']
+max_num_vowels = environment['max_num_vowels']
+vowels = environment['vowels']
+accented_vowels = environment['accented_vowels']
+feature_dictionary = environment['feature_dictionary']
+syllable_dictionary = environment['syllable_dictionary']
+
+# load models
+data = Data('l', shuffle_all_inputs=False)
+letter_location_model, syllable_location_model, syllabled_letters_location_model = data.load_location_models(
+    'cnn/word_accetuation/cnn_dictionary/v5_3/20_final_epoch.h5',
+    'cnn/word_accetuation/syllables/v3_3/20_final_epoch.h5',
+    'cnn/word_accetuation/syllabled_letters/v3_3/20_final_epoch.h5')
+
+letter_location_co_model, syllable_location_co_model, syllabled_letters_location_co_model = data.load_location_models(
+    'cnn/word_accetuation/cnn_dictionary/v5_2/20_final_epoch.h5',
+    'cnn/word_accetuation/syllables/v3_2/20_final_epoch.h5',
+    'cnn/word_accetuation/syllabled_letters/v3_2/20_final_epoch.h5')
+
+letter_type_model, syllable_type_model, syllabled_letter_type_model = data.load_type_models(
+    'cnn/accent_classification/letters/v3_1/20_final_epoch.h5',
+    'cnn/accent_classification/syllables/v2_1/20_final_epoch.h5',
+    'cnn/accent_classification/syllabled_letters/v2_1/20_final_epoch.h5')
+
+letter_type_co_model, syllable_type_co_model, syllabled_letter_type_co_model = data.load_type_models(
+    'cnn/accent_classification/letters/v3_0/20_final_epoch.h5',
+    'cnn/accent_classification/syllables/v2_0/20_final_epoch.h5',
+    'cnn/accent_classification/syllabled_letters/v2_0/20_final_epoch.h5')
+
+# read from data
+content = data._read_content(read_location)
+
+# format data for accentuate_word function it has to be like [['besedišči', '', 'Ncnpi', 'besedišči'], ]
+content = [[el[0], '', el[1][:-1], el[0]] for el in content[:-1]]
+
+# use environment variables and models to accentuate words
+data = Data('l', shuffle_all_inputs=False)
+location_accented_words, accented_words = data.accentuate_word(content, letter_location_model, syllable_location_model, syllabled_letters_location_model,
+                        letter_location_co_model, syllable_location_co_model, syllabled_letters_location_co_model,
+                        letter_type_model, syllable_type_model, syllabled_letter_type_model,
+                        letter_type_co_model, syllable_type_co_model, syllabled_letter_type_co_model,
+                        dictionary, max_word, max_num_vowels, vowels, accented_vowels, feature_dictionary, syllable_dictionary)
+
+# save accentuated words
+with open(write_location, 'w') as f:
+    for i in range(len(location_accented_words)):
+        f.write(location_accented_words[i] + '  ' + accented_words[i] + '\n')
+    f.write('\n')