remove caching from source

deeptranslit/deeptranslit.py

@@ -34,8 +34,7 @@ class DeepTranslit():
  model = None
  words = None
  lm = None
- cache = None
- def __init__(self, lang_code, caching=True):
+ def __init__(self, lang_code):
  if lang_code in lang_code_mapping:
  lang_code = lang_code_mapping[lang_code]
 
@@ -51,7 +50,6 @@ def __init__(self, lang_code, caching=True):
  params_path = os.path.join(lang_path, 'params')
  words_path = os.path.join(lang_path, 'words')
  lm_path = os.path.join(lang_path, 'lm')
- cache_path = os.path.join(lang_path, 'cache')
 
  if not os.path.exists(lang_path):
  os.mkdir(lang_path)
@@ -72,18 +70,11 @@ def __init__(self, lang_code, caching=True):
  print('Downloading lm', model_links[lang_code]['lm'], 'to', lm_path)
  pydload.dload(url=model_links[lang_code]['lm'], save_to_path=lm_path, max_time=None)
 
- if not os.path.exists(cache_path):
- print('Downloading cache', model_links[lang_code]['cache'], 'to', cache_path)
- pydload.dload(url=model_links[lang_code]['cache'], save_to_path=cache_path, max_time=None)
-
  DeepTranslit.model, DeepTranslit.params = build_model(params_path=params_path, enc_lstm_units=64, use_gru=True, display_summary=False)
  DeepTranslit.model.load_weights(checkpoint_path)
 
  DeepTranslit.words = pickle.load(open(words_path, 'rb'))
 
- if caching:
- DeepTranslit.cache = pickle.load(open(cache_path, 'rb'))
-
  if kenlm_available:
  logging.warn('Loading KenLM.')
  DeepTranslit.lm = kenlm.Model(lm_path)