Commit fea61b04f1688d9614273c943bce389b54f61e64 - poetry

yangsaisai 4 years ago

12 changed file(s) with 542 addition(s) and 53 deletion(s). Raw diff Collapse all Expand all

+15

-7

.ipynb_checkpoints/app_spec-checkpoint.yml less more

0	0	input:
1	1	Chinese_word:
2		value_type: "str"
3		description: 请输入四字词语
	2	description: "\u8BF7\u8F93\u5165\u56DB\u5B57\u8BCD\u8BED"
	3	value_type: str
4	4	style:
5		value_type: "str"
6		value_range: ['藏头诗', '藏字诗']
7		description: 选择生成诗句的风格
	5	description: "\u9009\u62E9\u751F\u6210\u8BD7\u53E5\u7684\u98CE\u683C"
	6	value_range:
	7	- "\u85CF\u5934\u8BD7"
	8	- "\u85CF\u5B57\u8BD7"
	9	value_type: str
	10	'体裁':
	11	description: "选择你想要生成的古诗体裁"
	12	value_range:
	13	- "七言"
	14	- "五言"
	15	value_type: str
8	16	output:
9	17	Poetry:
10		value_type: "str"
11		description: 输出四句诗词
	18	description: "\u8F93\u51FA\u4E00\u9996\u8BD7\u8BCD"
	19	value_type: str

+18

-4

.ipynb_checkpoints/handler-checkpoint.py less more

33	33
34	34	style = conf['style'] # value_type: str # description: some description
35	35	Chinese_word = conf['Chinese_word'] # value_type: str # description: some description
	36	ticai = conf['体裁']
	37	# add your code
	38	if ticai == '七言':
	39	char_len = 32
	40	else:
	41	char_len = 24
36	42	# add your code
37	43	if style == '藏头诗':
38		poetry = writer.cangtou(Chinese_word)
	44	poetry_test = writer.cangtou(Chinese_word)
	45	while len(poetry_test) != char_len:
	46	poetry_test = writer.cangtou(Chinese_word)
	47	poetry = poetry_test
39	48	elif conf['style'] == '藏字诗':
40		poetry = writer.hide_words(Chinese_word)
	49	poetry_test = writer.hide_words(Chinese_word)
	50	while len(poetry_test) != char_len:
	51	poetry_test = writer.cangtou(Chinese_word)
	52	poetry = poetry_test
41	53	else:
42		poetry = writer.rhyme_verse()
43
	54	poetry_test = writer.rhyme_verse()
	55	while len(poetry_test) != char_len:
	56	poetry_test = writer.cangtou(Chinese_word)
	57	poetry = poetry_test
44	58	return {'Poetry': poetry}
45	59
46	60

+185

-4

.ipynb_checkpoints/main-checkpoint.ipynb less more

3	3	"cell_type": "code",
4	4	"execution_count": 1,
5	5	"metadata": {},
6		"outputs": [],
	6	"outputs": [
	7	{
	8	"ename": "ImportError",
	9	"evalue": "cannot import name 'json_parser'",
	10	"output_type": "error",
	11	"traceback": [
	12	"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
	13	"\u001b[0;31mImportError\u001b[0m Traceback (most recent call last)",
	14	"\u001b[0;32m<ipython-input-1-d6b379403f6f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 12\u001b[0m \u001b[0;31m# Import necessary packages\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 13\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mmodules\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mjson_parser\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 14\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mmodules\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mClient\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 15\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
	15	"\u001b[0;31mImportError\u001b[0m: cannot import name 'json_parser'"
	16	]
	17	}
	18	],
7	19	"source": [
8	20	"# coding = utf8\n",
9	21	"# You can use other public modules via our Client object with module's identifier\n",

41	53	"metadata": {},
42	54	"outputs": [
43	55	{
	56	"name": "stderr",
	57	"output_type": "stream",
	58	"text": [
	59	"/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",
	60	" _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
	61	"/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",
	62	" _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
	63	"/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",
	64	" _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
	65	"/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",
	66	" _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
	67	"/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",
	68	" _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
	69	"/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",
	70	" np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n"
	71	]
	72	},
	73	{
44	74	"name": "stdout",
45	75	"output_type": "stream",
46	76	"text": [
47	77	"/home/jovyan/work\n",
48		"07:26:17 INFO:best_model: /home/jovyan/work/results/output_poem/best_model/model-20390\n",
	78	"02:24:31 INFO:best_model: ./results/output_poem/best_model/model-61170\n",
49	79	"\n",
	80	"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",
	81	"Instructions for updating:\n",
	82	"This class is equivalent as tf.keras.layers.LSTMCell, and will be replaced by that in Tensorflow 2.0.\n",
	83	"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",
	84	"Instructions for updating:\n",
	85	"This class is equivalent as tf.keras.layers.LSTMCell, and will be replaced by that in Tensorflow 2.0.\n",
	86	"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",
	87	"Instructions for updating:\n",
	88	"This class is equivalent as tf.keras.layers.StackedRNNCells, and will be replaced by that in Tensorflow 2.0.\n",
	89	"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",
	90	"Instructions for updating:\n",
	91	"This class is equivalent as tf.keras.layers.StackedRNNCells, and will be replaced by that in Tensorflow 2.0.\n",
	92	"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",
	93	"Instructions for updating:\n",
	94	"Colocations handled automatically by placer.\n",
	95	"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",
	96	"Instructions for updating:\n",
	97	"Colocations handled automatically by placer.\n",
	98	"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",
	99	"Instructions for updating:\n",
	100	"Please use `keras.layers.RNN(cell, unroll=True)`, which is equivalent to this API\n",
	101	"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",
	102	"Instructions for updating:\n",
	103	"Please use `keras.layers.RNN(cell, unroll=True)`, which is equivalent to this API\n",
	104	"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",
	105	"Instructions for updating:\n",
	106	"Use standard file APIs to check for files with this prefix.\n",
	107	"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",
	108	"Instructions for updating:\n",
	109	"Use standard file APIs to check for files with this prefix.\n",
50	110	"result：\n",
51		"大妃非是列，志事满黄枢。始喜封阳礼，开摩舞罢歌。\n"
	111	"大仪非是寇，谁将戚戚中。不足贤良祚，开筵始讽钟。\n"
52	112	]
53	113	}
54	114	],

85	145	"execution_count": null,
86	146	"metadata": {},
87	147	"outputs": [],
88		"source": []
	148	"source": [
	149	"# coding: utf-8\n",
	150	"import os\n",
	151	"import sys\n",
	152	"\n",
	153	"# Import necessary packages\n",
	154	"# from modules import json_parser\n",
	155	"from modules import Client\n",
	156	"\n",
	157	"from write_poem import start_model\n",
	158	"\n",
	159	"# Initialise Client object\n",
	160	"client = Client(api_key='33799e1c5d6fa05fdd7dec3aa7aad868445d1c737edcf9c37fa89cb3b39cb2d9',\n",
	161	" project_id='5bfd118f1afd942b66b36b30', user_ID='yangsaisai',\n",
	162	" project_type='app', source_file_path='main.py', \n",
	163	" silent=True)\n",
	164	"\n",
	165	"# Make run/train/predict command alias for further use\n",
	166	"run = client.run\n",
	167	"train = client.train\n",
	168	"predict = client.predict\n",
	169	"\n",
	170	"# Make controller alias for further use\n",
	171	"controller = client.controller\n",
	172	"writer = start_model()\n",
	173	"\n",
	174	"\n",
	175	"def handle(conf):\n",
	176	" # paste your code here\n",
	177	" # path = os.getcwd() # 获取当前工作目录\n",
	178	" # print(path)\n",
	179	" if conf['style'] == ['藏头诗']:\n",
	180	" poetry = writer.cangtou(conf['Chinese_word'])\n",
	181	" elif conf['style'] == ['藏字诗']:\n",
	182	" poetry = writer.hide_words(conf['Chinese_word'])\n",
	183	" else:\n",
	184	" poetry = writer.rhyme_verse()\n",
	185	" return {\"Poetry\": poetry}\n",
	186	"\n",
	187	"\n",
	188	"# if __name__ == '__main__':\n",
	189	"# conf = {\"style\": ['藏头诗'], \"Chinese_word\": '杨赛赛'}\n",
	190	"# aa = handle(conf)\n",
	191	"# print(aa)\n"
	192	]
	193	},
	194	{
	195	"cell_type": "code",
	196	"execution_count": 1,
	197	"metadata": {},
	198	"outputs": [
	199	{
	200	"ename": "ImportError",
	201	"evalue": "No module named 'modules'",
	202	"output_type": "error",
	203	"traceback": [
	204	"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
	205	"\u001b[0;31mImportError\u001b[0m Traceback (most recent call last)",
	206	"\u001b[0;32m<ipython-input-1-d8345828f542>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;31m# Import necessary packages\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mmodules\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mjson_parser\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 7\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mmodules\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mClient\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mwrite_poem\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mstart_model\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
	207	"\u001b[0;31mImportError\u001b[0m: No module named 'modules'"
	208	]
	209	}
	210	],
	211	"source": [
	212	"# coding: utf-8\n",
	213	"import os\n",
	214	"import sys\n",
	215	"\n",
	216	"# Import necessary packages\n",
	217	"from modules import json_parser\n",
	218	"from modules import Client\n",
	219	"from write_poem import start_model\n",
	220	"\n",
	221	"# Initialise Client object\n",
	222	"client = Client(api_key='33799e1c5d6fa05fdd7dec3aa7aad868445d1c737edcf9c37fa89cb3b39cb2d9',\n",
	223	" project_id='5bfd118f1afd942b66b36b30', user_ID='yangsaisai',\n",
	224	" project_type='app', source_file_path='main.ipynb',\n",
	225	" silent=True)\n",
	226	"\n",
	227	"# Make run/train/predict command alias for further use\n",
	228	"run = client.run\n",
	229	"train = client.train\n",
	230	"predict = client.predict\n",
	231	"\n",
	232	"# Make controller alias for further use\n",
	233	"controller = client.controller\n",
	234	"writer = start_model()\n",
	235	"\n",
	236	"\n",
	237	"def handle(conf):\n",
	238	" \"\"\"\n",
	239	" 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",
	240	" 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",
	241	" 范例：\n",
	242	" params['key'] = value # value_type: str # description: some description\n",
	243	" 参数请放到params字典中，我们会自动解析该变量。\n",
	244	" \"\"\"\n",
	245	"\n",
	246	" style = conf['style'] # value_type: str # description: some description\n",
	247	" Chinese_word = conf['Chinese_word'] # value_type: str # description: some description\n",
	248	" # add your code\n",
	249	" if style == '藏头诗':\n",
	250	" poetry = writer.cangtou(Chinese_word)\n",
	251	" elif conf['style'] == '藏字诗':\n",
	252	" poetry = writer.hide_words(Chinese_word)\n",
	253	" else:\n",
	254	" poetry = writer.rhyme_verse()\n",
	255	"\n",
	256	" return {'Poetry': poetry}"
	257	]
	258	},
	259	{
	260	"cell_type": "code",
	261	"execution_count": null,
	262	"metadata": {},
	263	"outputs": [],
	264	"source": [
	265	"# if __name__ == '__main__':\n",
	266	"# conf = {\"style\": ['藏头诗'], \"Chinese_word\": '杨赛赛'}\n",
	267	"# aa = handle(conf)\n",
	268	"# print(aa)"
	269	]
89	270	}
90	271	],
91	272	"metadata": {

-0

app_spec.yml less more

7	7	- "\u85CF\u5934\u8BD7"
8	8	- "\u85CF\u5B57\u8BD7"
9	9	value_type: str
	10	'体裁':
	11	description: "选择你想要生成的古诗体裁"
	12	value_range:
	13	- "七言"
	14	- "五言"
	15	value_type: str
10	16	output:
11	17	Poetry:
12	18	description: "\u8F93\u51FA\u4E00\u9996\u8BD7\u8BCD"

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+18

-4

handler.py less more

33	33
34	34	style = conf['style'] # value_type: str # description: some description
35	35	Chinese_word = conf['Chinese_word'] # value_type: str # description: some description
	36	ticai = conf['体裁']
	37	# add your code
	38	if ticai == '七言':
	39	char_len = 32
	40	else:
	41	char_len = 24
36	42	# add your code
37	43	if style == '藏头诗':
38		poetry = writer.cangtou(Chinese_word)
	44	poetry_test = writer.cangtou(Chinese_word)
	45	while len(poetry_test) != char_len:
	46	poetry_test = writer.cangtou(Chinese_word)
	47	poetry = poetry_test
39	48	elif conf['style'] == '藏字诗':
40		poetry = writer.hide_words(Chinese_word)
	49	poetry_test = writer.hide_words(Chinese_word)
	50	while len(poetry_test) != char_len:
	51	poetry_test = writer.cangtou(Chinese_word)
	52	poetry = poetry_test
41	53	else:
42		poetry = writer.rhyme_verse()
43
	54	poetry_test = writer.rhyme_verse()
	55	while len(poetry_test) != char_len:
	56	poetry_test = writer.cangtou(Chinese_word)
	57	poetry = poetry_test
44	58	return {'Poetry': poetry}
45	59
46	60

+210

-11

main.ipynb less more

1	1	"cells": [
2	2	{
3	3	"cell_type": "code",
4		"execution_count": null,
	4	"execution_count": 1,
	5	"metadata": {},
	6	"outputs": [
	7	{
	8	"name": "stderr",
	9	"output_type": "stream",
	10	"text": [
	11	"/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",
	12	" _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
	13	"/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",
	14	" _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
	15	"/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",
	16	" _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
	17	"/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",
	18	" _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
	19	"/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",
	20	" _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
	21	"/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",
	22	" np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n"
	23	]
	24	},
	25	{
	26	"name": "stdout",
	27	"output_type": "stream",
	28	"text": [
	29	"05:27:14 INFO:best_model: ./results/output_poem/best_model/model-61170\n",
	30	"\n",
	31	"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",
	32	"Instructions for updating:\n",
	33	"This class is equivalent as tf.keras.layers.LSTMCell, and will be replaced by that in Tensorflow 2.0.\n",
	34	"05:27:14 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",
	35	"Instructions for updating:\n",
	36	"This class is equivalent as tf.keras.layers.LSTMCell, and will be replaced by that in Tensorflow 2.0.\n",
	37	"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",
	38	"Instructions for updating:\n",
	39	"This class is equivalent as tf.keras.layers.StackedRNNCells, and will be replaced by that in Tensorflow 2.0.\n",
	40	"05:27:14 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",
	41	"Instructions for updating:\n",
	42	"This class is equivalent as tf.keras.layers.StackedRNNCells, and will be replaced by that in Tensorflow 2.0.\n",
	43	"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",
	44	"Instructions for updating:\n",
	45	"Colocations handled automatically by placer.\n",
	46	"05:27:14 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",
	47	"Instructions for updating:\n",
	48	"Colocations handled automatically by placer.\n",
	49	"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",
	50	"Instructions for updating:\n",
	51	"Please use `keras.layers.RNN(cell, unroll=True)`, which is equivalent to this API\n",
	52	"05:27:14 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",
	53	"Instructions for updating:\n",
	54	"Please use `keras.layers.RNN(cell, unroll=True)`, which is equivalent to this API\n",
	55	"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",
	56	"Instructions for updating:\n",
	57	"Use standard file APIs to check for files with this prefix.\n",
	58	"05:27:15 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",
	59	"Instructions for updating:\n",
	60	"Use standard file APIs to check for files with this prefix.\n"
	61	]
	62	}
	63	],
	64	"source": [
	65	"import os\n",
	66	"import sys\n",
	67	"\n",
	68	"# Define root path\n",
	69	"sys.path.append('../')\n",
	70	"\n",
	71	"# Import necessary packages\n",
	72	"from modules import json_parser\n",
	73	"from modules import Client\n",
	74	"from write_poem import start_model\n",
	75	"\n",
	76	"# Initialise Client object\n",
	77	"client = Client(api_key='33799e1c5d6fa05fdd7dec3aa7aad868445d1c737edcf9c37fa89cb3b39cb2d9',\n",
	78	" project_id='5bfd118f1afd942b66b36b30', user_ID='yangsaisai',\n",
	79	" project_type='app', source_file_path='main.ipynb',\n",
	80	" silent=True)\n",
	81	"\n",
	82	"# Make run/train/predict command alias for further use\n",
	83	"run = client.run\n",
	84	"train = client.train\n",
	85	"predict = client.predict\n",
	86	"\n",
	87	"# Make controller alias for further use\n",
	88	"controller = client.controller\n",
	89	"writer = start_model()\n",
	90	"\n",
	91	"\n",
	92	"def handle(conf):\n",
	93	" \"\"\"\n",
	94	" 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",
	95	" 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",
	96	" 范例：\n",
	97	" params['key'] = value # value_type: str # description: some description\n",
	98	" 参数请放到params字典中，我们会自动解析该变量。\n",
	99	" \"\"\"\n",
	100	"\n",
	101	" style = conf['style'] # value_type: str # description: some description\n",
	102	" ticai = conf['ticai']\n",
	103	" Chinese_word = conf['Chinese_word'] # value_type: str # description: some description\n",
	104	" if ticai == '七言':\n",
	105	" char_len = 32\n",
	106	" else:\n",
	107	" char_len = 24\n",
	108	" # add your code\n",
	109	" if style == '藏头诗':\n",
	110	" poetry_test = writer.cangtou(Chinese_word)\n",
	111	" while len(poetry_test) != char_len:\n",
	112	" poetry_test = writer.cangtou(Chinese_word)\n",
	113	" poetry = poetry_test\n",
	114	" elif conf['style'] == '藏字诗':\n",
	115	" poetry_test = writer.hide_words(Chinese_word)\n",
	116	" while len(poetry_test) != char_len:\n",
	117	" poetry_test = writer.cangtou(Chinese_word)\n",
	118	" poetry = poetry_test\n",
	119	" else:\n",
	120	" poetry_test = writer.rhyme_verse()\n",
	121	" while len(poetry_test) != char_len:\n",
	122	" poetry_test = writer.cangtou(Chinese_word)\n",
	123	" poetry = poetry_test\n",
	124	" return {'Poetry': poetry}"
	125	]
	126	},
	127	{
	128	"cell_type": "code",
	129	"execution_count": 16,
	130	"metadata": {},
	131	"outputs": [
	132	{
	133	"name": "stdout",
	134	"output_type": "stream",
	135	"text": [
	136	"{'Poetry': '我师当主士，是庆悬林端。小妇买林事，墨山无所传。'}\n"
	137	]
	138	}
	139	],
	140	"source": [
	141	"if __name__ == '__main__':\n",
	142	" conf = {\"style\": '藏头诗', \"Chinese_word\": '我是小墨', 'ticai':'五言'}\n",
	143	" aa = handle(conf)\n",
	144	" print(aa)\n",
	145	"# print(len(aa['Poetry']))"
	146	]
	147	},
	148	{
	149	"cell_type": "code",
	150	"execution_count": 1,
5	151	"metadata": {},
6	152	"outputs": [],
7	153	"source": [

37	183	},
38	184	{
39	185	"cell_type": "code",
40		"execution_count": null,
41		"metadata": {},
42		"outputs": [],
	186	"execution_count": 2,
	187	"metadata": {},
	188	"outputs": [
	189	{
	190	"name": "stderr",
	191	"output_type": "stream",
	192	"text": [
	193	"/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",
	194	" _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
	195	"/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",
	196	" _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
	197	"/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",
	198	" _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
	199	"/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",
	200	" _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
	201	"/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",
	202	" _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
	203	"/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",
	204	" np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n"
	205	]
	206	},
	207	{
	208	"name": "stdout",
	209	"output_type": "stream",
	210	"text": [
	211	"/home/jovyan/work\n",
	212	"02:24:31 INFO:best_model: ./results/output_poem/best_model/model-61170\n",
	213	"\n",
	214	"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",
	215	"Instructions for updating:\n",
	216	"This class is equivalent as tf.keras.layers.LSTMCell, and will be replaced by that in Tensorflow 2.0.\n",
	217	"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",
	218	"Instructions for updating:\n",
	219	"This class is equivalent as tf.keras.layers.LSTMCell, and will be replaced by that in Tensorflow 2.0.\n",
	220	"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",
	221	"Instructions for updating:\n",
	222	"This class is equivalent as tf.keras.layers.StackedRNNCells, and will be replaced by that in Tensorflow 2.0.\n",
	223	"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",
	224	"Instructions for updating:\n",
	225	"This class is equivalent as tf.keras.layers.StackedRNNCells, and will be replaced by that in Tensorflow 2.0.\n",
	226	"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",
	227	"Instructions for updating:\n",
	228	"Colocations handled automatically by placer.\n",
	229	"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",
	230	"Instructions for updating:\n",
	231	"Colocations handled automatically by placer.\n",
	232	"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",
	233	"Instructions for updating:\n",
	234	"Please use `keras.layers.RNN(cell, unroll=True)`, which is equivalent to this API\n",
	235	"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",
	236	"Instructions for updating:\n",
	237	"Please use `keras.layers.RNN(cell, unroll=True)`, which is equivalent to this API\n",
	238	"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",
	239	"Instructions for updating:\n",
	240	"Use standard file APIs to check for files with this prefix.\n",
	241	"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",
	242	"Instructions for updating:\n",
	243	"Use standard file APIs to check for files with this prefix.\n",
	244	"result：\n",
	245	"大仪非是寇，谁将戚戚中。不足贤良祚，开筵始讽钟。\n"
	246	]
	247	}
	248	],
43	249	"source": [
44	250	"from write_poem import start_model\n",
45	251	"\n",

118	324	"# aa = handle(conf)\n",
119	325	"# print(aa)\n"
120	326	]
121		},
122		{
123		"cell_type": "code",
124		"execution_count": null,
125		"metadata": {},
126		"outputs": [],
127		"source": []
128	327	}
129	328	],
130	329	"metadata": {

+90

-23

project_requirements.txt less more

0		PyWavelets==1.0.2
1		cloudpickle==0.8.0
2		torchvision==0.2.2.post3
3		nltk==3.4
	0	ipdb==0.13.2
	1	toolz==0.9.0
	2	networkx==2.2
	3	scikit-image==0.14.1
	4	joblib==0.14.1
	5	pycparser==2.20
	6	opencv-contrib-python==4.4.0.42
	7	et-xmlfile==1.0.1
	8	appdirs==1.4.4
	9	retrying==1.3.3
	10	CairoSVG==2.5.2
	11	jmespath==0.10.0
4	12	pydot==1.4.1
	13	certipy==0.1.3
	14	jdcal==1.4.1
	15	cryptography==3.2.1
	16	imbalanced-learn==0.6.2
	17	openpyxl==2.6.4
	18	filelock==3.0.12
	19	sacremoses==0.0.45
	20	tokenizers==0.5.2
	21	unification==0.2.2
	22	python-jsonrpc-server==0.0.1
	23	click==7.1.2
	24	imgaug==0.2.6
	25	jieba==0.42.1
	26	packaging==20.9
	27	defusedxml==0.7.1
	28	tf-slim==1.1.0
	29	word2vec==0.10.6
	30	calysto==1.0.6
	31	s3transfer==0.3.3
	32	configparser==4.0.2
	33	botocore==1.19.25
	34	tqdm==4.46.1
	35	Shapely==1.7.0
	36	pyOpenSSL==20.0.1
	37	numpyencoder==0.3.0
	38	pyrsistent==0.17.3
	39	oauthlib==3.1.0
	40	pygame==2.0.1
	41	gym==0.17.2
	42	moviepy==1.0.3
	43	minepy==1.2.4
	44	imageio==2.8.0
	45	cssselect2==0.3.0
	46	sentencepiece==0.1.91
	47	boto3==1.16.25
	48	dask==0.20.0
	49	sympy==1.6.2
	50	argon2-cffi==20.1.0
	51	tensorflow-estimator==1.13.0
	52	torchvision==0.5.0+cpu
	53	regex==2021.4.4
	54	torch==1.4.0+cpu
5	55	xlrd==1.2.0
	56	Augmentor==0.2.8
	57	Cython==0.29.20
	58	kanren==0.2.3
	59	pyenchant==3.1.1
	60	imageio-ffmpeg==0.4.4
	61	svgwrite==1.3.1
	62	distlib==0.3.1
	63	pytorch-pretrained-bert==0.6.2
	64	mpmath==1.2.1
	65	importlib-resources==3.2.1
	66	PyAudio==0.2.11
	67	transformers==2.5.1
	68	pyglet==1.5.0
	69	baytune==0.3.10
	70	zipp==1.2.0
	71	tensorboardX==2.0
	72	yellowbrick==1.1
	73	mock==2.0.0
	74	importlib-metadata==2.1.1
	75	cairocffi==1.1.0
	76	metakernel==0.27.5
	77	multipledispatch==0.6.0
	78	plotly==4.8.1
	79	async-generator==1.10
	80	proglog==0.1.9
	81	torchtext==0.6.0
	82	PyWavelets==1.0.1
	83	cffi==1.14.5
	84	rouge==1.0.0
	85	attrs==21.2.0
	86	func-timeout==4.3.5
	87	nltk==3.5
	88	tinycss2==1.0.2
	89	cloudpickle==0.6.1
6	90	jupyterlab-server==0.2.0
7		python-jsonrpc-server==0.0.1
8		dask==1.1.4
9		Shapely==1.6.4.post2
10		jieba==0.39
11		attrs==19.1.0
12		networkx==2.2
13		imageio==2.5.0
14		tensorflow-estimator==1.13.0
15		pyrsistent==0.14.11
16		toolz==0.9.0
17		torch==1.0.1.post2
18		mock==2.0.0
19		Cython==0.29.6
20		word2vec==0.10.2
21		scikit-image==0.14.2
22		tqdm==4.31.1
23		defusedxml==0.5.0
24		singledispatch==3.4.0.3
25		imgaug==0.2.8
	91	minio==5.0.10
	92	graphviz==0.14