def main():
# path = input ("Where is the dataset(assignment1-dataset.txt)? Give me folder path : ")
path = "E:\\Universite\\8yy\\497\\NLP_Homeworks\\generateSentence"
""" NN_grams = int(input('''Which grams model you want?
\nUnigram -> 1, Bigram -> 2, Trigram ->3 and so on.
\nGive me your wanted ''')) """
# count_of_sentence = int(input("How many sentences you want : "))
count_of_sentence = 3
# maxlength_of_sentence = int(input("How many words does a sentence consist of : "))
maxlength_of_sentence = 30
NN_grams = 3
sentences = dataset(path)
ngram_language_model = LanguageModel(NN_grams)
ngram_language_model.LoadDataset2Model(sentences)
generated_sentences = ngram_language_model.Generate(
maxlength_of_sentence, count_of_sentence)
for i in range(count_of_sentence):
print(str(i) + ".sentence :", generated_sentences[i])
ngram_language_model.PPL(generated_sentences[i])
