def conversation_NLULearning():
print("현재 프로세스의 작업 디렉토리 [%s]" % os.getcwd())
print("부모 디렉토리로 변경[%s]" % os.chdir(os.pardir))
print("변경후 현재 프로세스의 작업 디렉토리 [%s]" % os.getcwd())
print(
"intents 파일 디렉토리[%s]" %
os.path.abspath("ArkNLU/DialogIntents/intents_conversations_kr.json"))
input_file_name = os.path.abspath(
"ArkNLU/DialogIntents/intents_conversations_kr.json")
print("intents 파일 디렉토리[%s]" % input_file_name)
input_training_data_file_name = os.path.abspath(
"ArkNLU/NLUModel/training_data_conversations_kr")
print("training 파일 디렉토리[%s]" % input_training_data_file_name)
tflearn_logs_dir = os.path.abspath(
'ArkNLU/NLUModel/conversations_tflearn_kr_logs')
print("tflearn_logs 디렉토리[%s]" % tflearn_logs_dir)
tflearn_model_file_name = os.path.abspath(
'ArkNLU/NLUModel/model_conversations_kr.tflearn')
print("tflearn_model 파일 디렉토리[%s]" % tflearn_model_file_name)
# intents_file, training_data_file, tflearn_logs_dir, tflearn_model_file
learning_model_files = dict(
intents_file=input_file_name,
training_data_file=input_training_data_file_name,
tflearn_logs_dir=tflearn_logs_dir,
tflearn_model_file=tflearn_model_file_name)
bot = ChatClient('ko-KR', learning_model_files)
print("conversations NLULearning instance...")
if bot.create_learning_model(show_details=True):
print("conversations model creation success....")
else:
print("conversations model creation fail....")
def home_NLULearning(work_dir):
print("현재 프로세스의 작업 디렉토리 [%s]" % os.getcwd())
print("부모 디렉토리로 변경[%s]" % os.chdir(os.pardir))
print("변경후 현재 프로세스의 작업 디렉토리 [%s]" % os.getcwd())
print("intents 파일 디렉토리[%s]" % os.path.join(
work_dir,
"ArkChatFramework/ArkNLU/DialogIntents/intents_home_kr.json"))
input_file_name = os.path.join(
work_dir, "ArkChatFramework/ArkNLU/DialogIntents/intents_home_kr.json")
print("intents 파일 디렉토리[%s]" % input_file_name)
input_training_data_file_name = os.path.join(
work_dir, "ArkChatFramework/ArkNLU/NLUModel/training_data_home_kr")
print("training 파일 디렉토리[%s]" % input_training_data_file_name)
tflearn_logs_dir = os.path.join(
work_dir, 'ArkChatFramework/ArkNLU/NLUModel/home_tflearn_kr_logs')
print("tflearn_logs 디렉토리[%s]" % tflearn_logs_dir)
tflearn_model_file_name = os.path.join(
work_dir, 'ArkChatFramework/ArkNLU/NLUModel/model_home_kr.tflearn')
print("tflearn_model 파일 디렉토리[%s]" % tflearn_model_file_name)
# intents_file, training_data_file, tflearn_logs_dir, tflearn_model_file
learning_model_files = dict(
intents_file=input_file_name,
training_data_file=input_training_data_file_name,
tflearn_logs_dir=tflearn_logs_dir,
tflearn_model_file=tflearn_model_file_name)
bot = ChatClient('ko-KR', learning_model_files)
print("home NLULearning instance...")
if bot.create_learning_model(show_details=True):
print("home model creation success....")
else:
print("home model creation fail....")