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generate.py
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executable file
·49 lines (41 loc) · 1.27 KB
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"""
Generates text using pre-trained model.
Usage: python generate.py -h
"""
import os
import sys
import optparse
from model import Model
optparser = optparse.OptionParser()
optparser.add_option(
"-m", "--model_dir", default="",
help="Model directory"
)
optparser.add_option(
"-t", "--temperature", default="1.0",
type='float', help="Temperature (0 > t <= 1.0). Large temperature implies more randomness."
)
optparser.add_option(
"-n", "--num_words", default="50",
type='int', help="Number of items to generate"
)
optparser.add_option(
"-p", "--prefix", default="",
help="Word prefix"
)
opts = optparser.parse_args()[0]
# Check parameters validity
try:
assert opts.model_dir != "", "Model directory [-m] nor specified"
assert os.path.isdir(opts.model_dir), "Model directory {} not found".format(opts.model_dir)
assert 0. < opts.temperature <= 1.0, "Temperature [-t] should be in the range (0, 1]"
assert opts.num_words > 0
except AssertionError as e:
print('AssertionError:', e)
optparser.print_help()
sys.exit()
model = Model.restore(opts.model_dir)
for _ in range(opts.num_words):
w = model.generate(prefix=opts.prefix, temperature=opts.temperature)
print(w)
model.close()