Move vocabcompiler into client folder

1 files changed, 0 insertions, 71 deletions

diff --git a/boot/vocabcompiler.py b/boot/vocabcompiler.py
deleted file mode 100644
index f22da1a..0000000
--- a/boot/vocabcompiler.py
+++ /dev/null
@@ -1,71 +0,0 @@
-# -*- coding: utf-8-*-
-"""
-    Iterates over all the WORDS variables in the modules and creates a dictionary for the client.
-"""
-
-import os
-import sys
-import glob
-
-lib_path = os.path.abspath('../client')
-mod_path = os.path.abspath('../client/modules/')
-
-sys.path.append(lib_path)
-sys.path.append(mod_path)
-
-import g2p
-
-
-def text2lm(in_filename, out_filename):
-    """Wrapper around the language model compilation tools"""
-    def text2idngram(in_filename, out_filename):
-        cmd = "text2idngram -vocab %s < %s -idngram temp.idngram" % (out_filename,
-                                                                     in_filename)
-        os.system(cmd)
-
-    def idngram2lm(in_filename, out_filename):
-        cmd = "idngram2lm -idngram temp.idngram -vocab %s -arpa %s" % (
-            in_filename, out_filename)
-        os.system(cmd)
-
-    text2idngram(in_filename, in_filename)
-    idngram2lm(in_filename, out_filename)
-
-
-def compile(sentences, dictionary, languagemodel):
-    """
-        Gets the words and creates the dictionary
-    """
-
-    m = [os.path.basename(f)[:-3]
-         for f in glob.glob(os.path.dirname("../client/modules/") + "/*.py")]
-
-    words = []
-    for module_name in m:
-        try:
-            exec("import %s" % module_name)
-            eval("words.extend(%s.WORDS)" % module_name)
-        except:
-            pass  # module probably doesn't have the property
-
-    words = list(set(words))
-
-    # for spotify module
-    words.extend(["MUSIC", "SPOTIFY"])
-
-    # create the dictionary
-    pronounced = g2p.translateWords(words)
-    zipped = zip(words, pronounced)
-    lines = ["%s %s" % (x, y) for x, y in zipped]
-
-    with open(dictionary, "w") as f:
-        f.write("\n".join(lines) + "\n")
-
-    # create the language model
-    with open(sentences, "w") as f:
-        f.write("\n".join(words) + "\n")
-        f.write("<s> \n </s> \n")
-        f.close()
-
-    # make language model
-    text2lm(sentences, languagemodel)