91av视频/亚洲h视频/操亚洲美女/外国一级黄色毛片 - 国产三级三级三级三级

資源簡介

基于Python,使用TensorFlow實現的Sequence to Sequence的聊天機器人模型

資源截圖

代碼片段和文件信息

#!/usr/bin/env?python3

__author__?=?‘qhduan@memect.co‘

import?os
import?sys
import?json
import?math
import?shutil
import?pickle
import?sqlite3
from?collections?import?OrderedDict?Counter

import?numpy?as?np
from?tqdm?import?tqdm

def?with_path(p):
????current_dir?=?os.path.dirname(os.path.abspath(__file__))
????return?os.path.join(current_dir?p)

DICTIONARY_PATH?=?‘db/dictionary.json‘
EOS?=?‘
UNK?=?‘
PAD?=?‘
GO?=?‘

#?我一般是逗號放到句子后面的……
#?不過這樣比較方便屏蔽某一行,如果是JS就不用這樣了,因為JS的JSON語法比較松,允許多余逗號
buckets?=?[
????(5?15)
?????(10?20)
?????(15?25)
?????(20?30)
]

def?time(s):
????ret?=?‘‘
????if?s?>=?60?*?60:
????????h?=?math.floor(s?/?(60?*?60))
????????ret?+=?‘{}h‘.format(h)
????????s?-=?h?*?60?*?60
????if?s?>=?60:
????????m?=?math.floor(s?/?60)
????????ret?+=?‘{}m‘.format(m)
????????s?-=?m?*?60
????if?s?>=?1:
????????s?=?math.floor(s)
????????ret?+=?‘{}s‘.format(s)
????return?ret

def?load_dictionary():
????with?open(with_path(DICTIONARY_PATH)?‘r‘)?as?fp:
????????dictionary?=?[EOS?UNK?PAD?GO]?+?json.load(fp)
????????index_word?=?OrderedDict()
????????word_index?=?OrderedDict()
????????for?index?word?in?enumerate(dictionary):
????????????index_word[index]?=?word
????????????word_index[word]?=?index
????????dim?=?len(dictionary)
????return?dim?dictionary?index_word?word_index

“““
def?save_model(sess?name=‘model.ckpt‘):
????import?tensorflow?as?tf
????if?not?os.path.exists(‘model‘):
????????os.makedirs(‘model‘)
????saver?=?tf.train.Saver()
????saver.save(sess?with_path(‘model/‘?+?name))

def?load_model(sess?name=‘model.ckpt‘):
????import?tensorflow?as?tf
????saver?=?tf.train.Saver()
????saver.restore(sess?with_path(‘model/‘?+?name))
“““

dim?dictionary?index_word?word_index?=?load_dictionary()

print(‘dim:?‘?dim)

EOS_ID?=?word_index[EOS]
UNK_ID?=?word_index[UNK]
PAD_ID?=?word_index[PAD]
GO_ID?=?word_index[GO]

class?BucketData(object):

????def?__init__(self?buckets_dir?encoder_size?decoder_size):
????????self.encoder_size?=?encoder_size
????????self.decoder_size?=?decoder_size
????????self.name?=?‘bucket_%d_%d.db‘?%?(encoder_size?decoder_size)
????????self.path?=?os.path.join(buckets_dir?self.name)
????????self.conn?=?sqlite3.connect(self.path)
????????self.cur?=?self.conn.cursor()
????????sql?=?‘‘‘SELECT?MAX(ROWID)?FROM?conversation;‘‘‘
????????self.size?=?self.cur.execute(sql).fetchall()[0][0]

????def?all_answers(self?ask):
????????“““找出所有數據庫中符合ask的answer
????????“““
????????sql?=?‘‘‘
????????SELECT?answer?FROM?conversation
????????WHERE?ask?=?‘{}‘;
????????‘‘‘.format(ask.replace(“‘“?“‘‘“))
????????ret?=?[]
????????for?s?in?self.cur.execute(sql):
????????????ret.append(s[0])
????????return?list(set(ret))

????def?random(self):
????????while?True:
????????????#?選擇一個[1?MAX(ROWID)]中的整數,讀取這一行
????????????rowid?=?np.random.randint(1?self.size?+?1)
????????????sql?=?‘‘‘
????????????SELECT?ask?answer?FROM?conversation
????????????WHERE?ROWID?=?{};
????????????‘‘‘.format(rowid)
????????????ret?=?self.cur.e

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2016-11-30?01:19??Seq2Seq_Chatbot_QA-master\
?????文件?????????123??2016-11-30?01:19??Seq2Seq_Chatbot_QA-master\.gitignore
?????文件????????4964??2016-11-30?01:19??Seq2Seq_Chatbot_QA-master\README.md
?????文件?????????339??2016-11-30?01:19??Seq2Seq_Chatbot_QA-master\config.json
?????文件????????8892??2016-11-30?01:19??Seq2Seq_Chatbot_QA-master\data_utils.py
?????目錄???????????0??2016-11-30?01:19??Seq2Seq_Chatbot_QA-master\db\
?????文件???????10054??2016-11-30?01:19??Seq2Seq_Chatbot_QA-master\db\chinese.txt
?????文件???????75314??2016-11-30?01:19??Seq2Seq_Chatbot_QA-master\db\dictionary.json
?????文件???????11266??2016-11-30?01:19??Seq2Seq_Chatbot_QA-master\db\gb2312_level1.txt
?????文件????????9025??2016-11-30?01:19??Seq2Seq_Chatbot_QA-master\db\gb2312_level2.txt
?????文件????????5093??2016-11-30?01:19??Seq2Seq_Chatbot_QA-master\db\generate_dict.ipynb
?????文件????????2610??2016-11-30?01:19??Seq2Seq_Chatbot_QA-master\decode_conv.py
?????文件????????9331??2016-11-30?01:19??Seq2Seq_Chatbot_QA-master\s2s.py
?????文件???????10421??2016-11-30?01:19??Seq2Seq_Chatbot_QA-master\s2s_model.py
?????文件?????????417??2016-11-30?01:19??Seq2Seq_Chatbot_QA-master\train_model.sh
?????文件?????????419??2016-11-30?01:19??Seq2Seq_Chatbot_QA-master\train_model2.sh

評論

共有 條評論