def SplitLexicon(f, n):
print(f, n)
split_lexicon("lexicons/" + f, int(n))
lc = listdir('corporas/')
ll = listdir('lexicons/')
eel.SendBack(lc, ll)
def SplitCorpus(f, n):
print(f, n)
split_data("corporas/" + f, int(n))
lc = listdir('corporas/')
ll = listdir('lexicons/')
eel.SendBack(lc, ll)
def initt():
'''
global mounted
global train_set
global lexicon
global model
if(mounted==0):
train_set = get_data("corporas/corpus.xml")[:]
lexicon = get_lexicon("lexicons/lexicon.txt")
model = get_HMM(train_set, lexicon)
mounted=1
eel.Notif("Loaded")
res=[]
tok=[]
for ss in train_set[:50]:
res+=ss["tags"]+['\n']
tok+=ss["tokens"]
print("here")
eel.SendTrain(tok,res)
print("done")
'''
lc = listdir('corporas/')
ll = listdir('lexicons/')
print(ll, lc)
eel.SendBack(lc, ll)
def MergeLexicons(ll, lfusion):
print("aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa")
for i in range(0, len(ll)):
ll[i] = "lexicons/" + ll[i]
fuse_n_lexicons(ll, "lexicons/" + lfusion)
lc = listdir('corporas/')
ll = listdir('lexicons/')
eel.SendBack(lc, ll)
def DeleteLexicon(f):
os.remove('lexicons/' + f)
lc = listdir('corporas/')
ll = listdir('lexicons/')
eel.SendBack(lc, ll)