{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
" _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
"/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/dtypes.py:527: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
" _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
"/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/dtypes.py:528: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
" _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
"/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/dtypes.py:529: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
" _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
"/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/dtypes.py:530: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
" _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
"/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/dtypes.py:535: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
" np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"07:53:48 INFO:best_model: ./results/output_poem/best_model/model-61170\n",
"\n",
"WARNING:tensorflow:From /home/jovyan/work/char_rnn_model.py:51: LSTMCell.__init__ (from tensorflow.python.ops.rnn_cell_impl) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"This class is equivalent as tf.keras.layers.LSTMCell, and will be replaced by that in Tensorflow 2.0.\n",
"07:53:48 WARNING:From /home/jovyan/work/char_rnn_model.py:51: LSTMCell.__init__ (from tensorflow.python.ops.rnn_cell_impl) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"This class is equivalent as tf.keras.layers.LSTMCell, and will be replaced by that in Tensorflow 2.0.\n",
"WARNING:tensorflow:From /home/jovyan/work/char_rnn_model.py:62: MultiRNNCell.__init__ (from tensorflow.python.ops.rnn_cell_impl) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"This class is equivalent as tf.keras.layers.StackedRNNCells, and will be replaced by that in Tensorflow 2.0.\n",
"07:53:48 WARNING:From /home/jovyan/work/char_rnn_model.py:62: MultiRNNCell.__init__ (from tensorflow.python.ops.rnn_cell_impl) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"This class is equivalent as tf.keras.layers.StackedRNNCells, and will be replaced by that in Tensorflow 2.0.\n",
"WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Colocations handled automatically by placer.\n",
"07:53:48 WARNING:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Colocations handled automatically by placer.\n",
"WARNING:tensorflow:From /home/jovyan/work/char_rnn_model.py:107: static_rnn (from tensorflow.python.ops.rnn) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Please use `keras.layers.RNN(cell, unroll=True)`, which is equivalent to this API\n",
"07:53:48 WARNING:From /home/jovyan/work/char_rnn_model.py:107: static_rnn (from tensorflow.python.ops.rnn) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Please use `keras.layers.RNN(cell, unroll=True)`, which is equivalent to this API\n",
"WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py:1266: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use standard file APIs to check for files with this prefix.\n",
"07:53:48 WARNING:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py:1266: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use standard file APIs to check for files with this prefix.\n"
]
}
],
"source": [
"# coding: utf-8\n",
"import os\n",
"import sys\n",
"# Define root path\n",
"sys.path.append('../')\n",
"# Import necessary packages\n",
"from modules import json_parser\n",
"from modules import Client\n",
"from write_poem import start_model\n",
"\n",
"# Initialise Client object\n",
"client = Client(api_key='33799e1c5d6fa05fdd7dec3aa7aad868445d1c737edcf9c37fa89cb3b39cb2d9',\n",
" project_id='5bfd118f1afd942b66b36b30', user_ID='yangsaisai',\n",
" project_type='app', source_file_path='main.ipynb',\n",
" silent=True)\n",
"\n",
"# Make run/train/predict command alias for further use\n",
"run = client.run\n",
"train = client.train\n",
"predict = client.predict\n",
"\n",
"# Make controller alias for further use\n",
"controller = client.controller\n",
"writer = start_model()\n",
"\n",
"\n",
"def handle(conf):\n",
" \"\"\"\n",
" 该方法是部署之后，其他人调用你的服务时候的处理方法。\n",
" 请按规范填写参数结构，这样我们就能替你自动生成配置文件，方便其他人的调用。\n",
" 范例：\n",
" params['key'] = value # value_type: str # description: some description\n",
" 参数请放到params字典中，我们会自动解析该变量。\n",
" \"\"\"\n",
"\n",
" style = conf['诗词形式'] # value_type: str # description: some description\n",
" Chinese_word = conf['四字短语'] # value_type: str # description: some description\n",
" ticai = conf['体裁']\n",
" # add your code\n",
" if ticai == '七言':\n",
" char_len = 32\n",
" else:\n",
" char_len = 24\n",
" # add your code\n",
" if style == '藏头诗':\n",
" poetry_test = writer.cangtou(Chinese_word)\n",
" while len(poetry_test) != char_len:\n",
" poetry_test = writer.cangtou(Chinese_word)\n",
" poetry = poetry_test\n",
" elif conf['style'] == '藏字诗':\n",
" poetry_test = writer.hide_words(Chinese_word)\n",
" while len(poetry_test) != char_len:\n",
" poetry_test = writer.cangtou(Chinese_word)\n",
" poetry = poetry_test\n",
" else:\n",
" poetry_test = writer.rhyme_verse()\n",
" while len(poetry_test) != char_len:\n",
" poetry_test = writer.cangtou(Chinese_word)\n",
" poetry = poetry_test\n",
" return {'Poetry': poetry}"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'Poetry': '我为腾骧剑，是无登龙幕。小臣国徒悬，墨女不可赎。'}\n"
]
}
],
"source": [
"if __name__ == '__main__':\n",
" conf = {\"诗词形式\": '藏头诗', \"四字短语\": '我是小墨', '体裁':'五言'}\n",
" aa = handle(conf)\n",
" print(aa)\n",
"# print(len(aa['Poetry']))"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# coding = utf8\n",
"# You can use other public modules via our Client object with module's identifier\n",
"# and parameters.\n",
"# For more detailes, please see our online document - https://momodel.github.io/docs/#\n",
"\n",
"import os\n",
"import sys\n",
"\n",
"# Define root path\n",
"sys.path.append('../')\n",
"\n",
"# Import necessary packages\n",
"from modules import json_parser\n",
"from modules import Client\n",
"\n",
"# Initialise Client object\n",
"client = Client(api_key='33799e1c5d6fa05fdd7dec3aa7aad868445d1c737edcf9c37fa89cb3b39cb2d9',\n",
" project_id='5bfd118f1afd942b66b36b30', user_ID='yangsaisai',\n",
" project_type='app', source_file_path='Untitled.ipynb')\n",
"\n",
"# Make run/train/predict command alias for further use\n",
"run = client.run\n",
"train = client.train\n",
"predict = client.predict\n",
"\n",
"# Make controller alias for further use\n",
"controller = client.controller\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
" _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
"/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/dtypes.py:527: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
" _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
"/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/dtypes.py:528: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
" _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
"/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/dtypes.py:529: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
" _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
"/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/dtypes.py:530: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
" _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
"/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/dtypes.py:535: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
" np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"/home/jovyan/work\n",
"02:24:31 INFO:best_model: ./results/output_poem/best_model/model-61170\n",
"\n",
"WARNING:tensorflow:From /home/jovyan/work/char_rnn_model.py:51: LSTMCell.__init__ (from tensorflow.python.ops.rnn_cell_impl) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"This class is equivalent as tf.keras.layers.LSTMCell, and will be replaced by that in Tensorflow 2.0.\n",
"02:24:31 WARNING:From /home/jovyan/work/char_rnn_model.py:51: LSTMCell.__init__ (from tensorflow.python.ops.rnn_cell_impl) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"This class is equivalent as tf.keras.layers.LSTMCell, and will be replaced by that in Tensorflow 2.0.\n",
"WARNING:tensorflow:From /home/jovyan/work/char_rnn_model.py:62: MultiRNNCell.__init__ (from tensorflow.python.ops.rnn_cell_impl) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"This class is equivalent as tf.keras.layers.StackedRNNCells, and will be replaced by that in Tensorflow 2.0.\n",
"02:24:31 WARNING:From /home/jovyan/work/char_rnn_model.py:62: MultiRNNCell.__init__ (from tensorflow.python.ops.rnn_cell_impl) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"This class is equivalent as tf.keras.layers.StackedRNNCells, and will be replaced by that in Tensorflow 2.0.\n",
"WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Colocations handled automatically by placer.\n",
"02:24:31 WARNING:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Colocations handled automatically by placer.\n",
"WARNING:tensorflow:From /home/jovyan/work/char_rnn_model.py:107: static_rnn (from tensorflow.python.ops.rnn) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Please use `keras.layers.RNN(cell, unroll=True)`, which is equivalent to this API\n",
"02:24:31 WARNING:From /home/jovyan/work/char_rnn_model.py:107: static_rnn (from tensorflow.python.ops.rnn) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Please use `keras.layers.RNN(cell, unroll=True)`, which is equivalent to this API\n",
"WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py:1266: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use standard file APIs to check for files with this prefix.\n",
"02:24:31 WARNING:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py:1266: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use standard file APIs to check for files with this prefix.\n",
"result：\n",
"大仪非是寇，谁将戚戚中。不足贤良祚，开筵始讽钟。\n"
]
}
],
"source": [
"from write_poem import start_model\n",
"\n",
"path = os.getcwd() # 获取当前工作目录\n",
"print(path)\n",
"writer = start_model()\n",
"\n",
"\n",
"def write_poem():\n",
" start_with = '大是大非开始了'\n",
" poem_style = 4\n",
" if start_with:\n",
" if poem_style == 3:\n",
" return writer.cangtou(start_with)\n",
" elif poem_style == 4:\n",
" return writer.hide_words(start_with)\n",
"\n",
" if poem_style == 1:\n",
" return writer.free_verse()\n",
" elif poem_style == 2:\n",
" return writer.rhyme_verse()\n",
"\n",
"if __name__ == \"__main__\":\n",
" result = write_poem()\n",
" print('result：')\n",
" print(result)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# coding: utf-8\n",
"import os\n",
"import sys\n",
"\n",
"# Import necessary packages\n",
"# from modules import json_parser\n",
"from modules import Client\n",
"\n",
"from write_poem import start_model\n",
"\n",
"# Initialise Client object\n",
"client = Client(api_key='33799e1c5d6fa05fdd7dec3aa7aad868445d1c737edcf9c37fa89cb3b39cb2d9',\n",
" project_id='5bfd118f1afd942b66b36b30', user_ID='yangsaisai',\n",
" project_type='app', source_file_path='main.py', \n",
" silent=True)\n",
"\n",
"# Make run/train/predict command alias for further use\n",
"run = client.run\n",
"train = client.train\n",
"predict = client.predict\n",
"\n",
"# Make controller alias for further use\n",
"controller = client.controller\n",
"writer = start_model()\n",
"\n",
"\n",
"def handle(conf):\n",
" # paste your code here\n",
" # path = os.getcwd() # 获取当前工作目录\n",
" # print(path)\n",
" if conf['style'] == ['藏头诗']:\n",
" poetry = writer.cangtou(conf['Chinese_word'])\n",
" elif conf['style'] == ['藏字诗']:\n",
" poetry = writer.hide_words(conf['Chinese_word'])\n",
" else:\n",
" poetry = writer.rhyme_verse()\n",
" return {\"Poetry\": poetry}\n",
"\n",
"\n",
"# if __name__ == '__main__':\n",
"# conf = {\"style\": ['藏头诗'], \"Chinese_word\": '杨赛赛'}\n",
"# aa = handle(conf)\n",
"# print(aa)\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}