{
"cells": [
{
"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": "stdout",
"output_type": "stream",
"text": [
"/home/jovyan/work\n",
"07:26:17 INFO:best_model: /home/jovyan/work/results/output_poem/best_model/model-20390\n",
"\n",
"result:\n",
"大妃非是列,志事满黄枢。始喜封阳礼,开摩舞罢歌。\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": []
}
],
"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"
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"nbformat": 4,
"nbformat_minor": 2
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