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December 13, 2019 07:07
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Indian Name Generator - Name Generation - Medium
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def generate(base_name): | |
if len(base_name): | |
base_name = base_name[:window] | |
x = np.zeros((1,window,len(int_to_char))) | |
seq_word = [] | |
ind_list = [char_to_int[i] for i in base_name] | |
for i,ind in enumerate(ind_list): | |
x[0 ,i ,ind] = 1 | |
seq_word.append(ind) | |
probs = np.squeeze(model.predict(x)).tolist() | |
probs = probs/ np.sum(probs) | |
gen_text = str(np.random.choice(a = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', | |
'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', | |
'Y', 'Z', '.'], | |
size = 1, p = probs)[0]) | |
not_end = True | |
text_length = 0 | |
while text_length < 25 and not_end: | |
text_length += 1 | |
seq_word = seq_word[1:] | |
seq_word.append(char_to_int[gen_text[-1]]) | |
x = np.zeros((1,window,len(int_to_char))) | |
for i,ind in enumerate(seq_word): | |
x[0, i, ind] = 1 | |
probs = np.squeeze(model.predict(x)).tolist() | |
probs = probs/ np.sum(probs) | |
gen_text = gen_text + int_to_char[np.random.choice(a=range(28),size=1,p=probs)[0]] | |
if gen_text[-1] == '.': | |
not_end = False | |
return(gen_text) |
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