def test():
Marvin = ChatBot()
results = []
results.append("MODEL_TYPE: %s\n" % params.model_type)
results.append("MODEL_SIZE: %d\n" % params.size)
results.append("NUM_LAYERS: %d\n" % params.num_layers)
results.append("VOCAB_SIZE: %d\n" % params.vocab_size)
results.append("LEARNING_PATTERN: %d\n" %
params.learning_rate_decay_factor)
results.append("TRAINING DATA: %s\n" % params.training_data)
results.append("CHECKPOINT: %s\n" % params.restore_model.split('-')[-1])
with open('test/test_template', 'r') as template_file:
for line in template_file:
results.append(line)
if "PROMPT" in line:
sentence = line.split(':')[-1].strip()
response = Marvin.respond(sentence)
results.append("RESPONSE: %s\n" % response)
# template_file.close()
with open(
'{0}/{1}'.format(params.test_dir,
params.restore_model.split('-')[-1]),
'w') as test_file:
test_file.write("".join(results))
def decode():
Marvin = ChatBot()
sys.stdout.write("> ")
sys.stdout.flush()
sentence = sys.stdin.readline()
while sentence:
response = Marvin.respond(sentence)
print(response)
print("> ", end="")
sys.stdout.flush()
sentence = sys.stdin.readline()
def test():
Marvin = ChatBot()
results = []
results.append("MODEL_TYPE: %s\n" % params.model_type)
results.append("MODEL_SIZE: %d\n" % params.size)
results.append("NUM_LAYERS: %d\n" % params.num_layers)
results.append("VOCAB_SIZE: %d\n" % params.vocab_size)
results.append("LEARNING_PATTERN: %d\n" % params.learning_rate_decay_factor)
results.append("TRAINING DATA: %s\n" % params.training_data)
results.append("CHECKPOINT: %s\n" % params.restore_model.split('-')[-1])
with open('test/test_template', 'r') as template_file:
for line in template_file:
results.append(line)
if "PROMPT" in line:
sentence = line.split(':')[-1].strip()
response = Marvin.respond(sentence)
results.append("RESPONSE: %s\n" % response)
with open('{0}/{1}'.format(params.test_dir, params.restore_model.split('-')[-1]), 'w') as test_file:
test_file.write("".join(results))