Installing collected packages: PyYAML, chatterbot-corpus
Attempting uninstall: PyYAML
Found existing installation: PyYAML 5.3.1
Uninstalling PyYAML-5.3.1:
Successfully uninstalled PyYAML-5.3.1
Running setup.py install for PyYAML ... done
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
chatterbot 1.1.0a7 requires pyyaml<5.4,>=5.3, but you have pyyaml 3.13 which is incompatible.
Successfully installed PyYAML-3.13 chatterbot-corpus-1.2.0
from chatterbot import ChatBot
from chatterbot.trainers import ChatterBotCorpusTrainer
chatbot = ChatBot('test')
trainer = ChatterBotCorpusTrainer(chatbot)
trainer.train("chatterbot.corpus.japanese")
response = chatbot.get_response("こんにちは")
print(response)
これを適当な名前で保存する（test_chat.pyとか）。
そして実行する。
python3 test_chat.py
すると以下の実行結果が得られる。
Training ai.yml: [####################] 100%
Training botprofile.yml: [####################] 100%
Training computers.yml: [####################] 100%
Training conversations.yml: [####################] 100%
Training emotion.yml: [####################] 100%
Training food.yml: [####################] 100%
Training gossip.yml: [####################] 100%
Training greetings.yml: [####################] 100%
Training health.yml: [####################] 100%
Training history.yml: [####################] 100%
Training humor.yml: [####################] 100%
Training literature.yml: [####################] 100%
Training money.yml: [####################] 100%
Training movies.yml: [####################] 100%
Training politics.yml: [####################] 100%
Training psychology.yml: [####################] 100%
Training science.yml: [####################] 100%
Training sports.yml: [####################] 100%
Training trivia.yml: [####################] 100%
お元気ですか？
from torch.optim.lr_scheduler import _LRScheduler
classTransformerLR(_LRScheduler):
"""TransformerLR class for adjustment of learning rate. The scheduling is based on the method proposed in 'Attention is All You Need'. """def__init__(self, optimizer, warmup_epochs=1000, last_epoch=-1, verbose=False):
"""Initialize class."""
self.warmup_epochs = warmup_epochs
self.normalize = self.warmup_epochs**0.5super().__init__(optimizer, last_epoch, verbose)
defget_lr(self):
"""Return adjusted learning rate."""
step = self.last_epoch + 1
scale = self.normalize * min(step**-0.5, step * self.warmup_epochs**-1.5)
return [base_lr * scale for base_lr in self.base_lrs]
まず第一に、RWCP 実環境音声・音響データベース (Real World Computing Partnership-Sound Scene Database; RWCP-SSD) を入手すること。これがないと始まらない。以下のページを参考に。オンライン配布にも対応しており、アカデミア関係者ならば入手は容易である。
ポンッ,p o N q,/path/to/your/dataset/nospeech/drysrc/a1/cherry1/16khz/005.wav,cherry1
トッ,t o q,/path/to/your/dataset/nospeech/drysrc/a1/cherry1/16khz/005.wav,cherry1
コンッ,k o N q,/path/to/your/dataset/nospeech/drysrc/a1/cherry1/16khz/005.wav,cherry1
トッ,t o q,/path/to/your/dataset/nospeech/drysrc/a1/cherry1/16khz/005.wav,cherry1
...
# -*- coding: utf-8 -*-from time import sleep
from progressbar import progressbar as prg
for i in prg(range(10), prefix="A demonstration", suffix="\n"):
sleep(0.1)
print(i)
ターミナル出力はこんな感じ（アニメーションを用意したい！）。
A demonstration 0% (0 of 10) | | Elapsed Time: 0:00:00 ETA: --:--:--
0
A demonstration 10% (1 of 10) |####### | Elapsed Time: 0:00:00 ETA: 0:00:00
1
A demonstration 20% (2 of 10) |############### | Elapsed Time: 0:00:00 ETA: 0:00:00
2
A demonstration 30% (3 of 10) |###################### | Elapsed Time: 0:00:00 ETA: 0:00:00
3
A demonstration 40% (4 of 10) |############################## | Elapsed Time: 0:00:00 ETA: 0:00:00
4
A demonstration 50% (5 of 10) |##################################### | Elapsed Time: 0:00:00 ETA: 0:00:00
5
A demonstration 60% (6 of 10) |############################################# | Elapsed Time: 0:00:00 ETA: 0:00:00
6
A demonstration 70% (7 of 10) |#################################################### | Elapsed Time: 0:00:00 ETA: 0:00:00
7
A demonstration 80% (8 of 10) |############################################################ | Elapsed Time: 0:00:00 ETA: 0:00:00
8
A demonstration 90% (9 of 10) |################################################################### | Elapsed Time: 0:00:00 ETA: 0:00:00
9
A demonstration100% (10 of 10) |##########################################################################| Elapsed Time: 0:00:01 Time: 0:00:01
# -*- coding: utf-8 -*-from time import sleep
from progressbar import progressbar as prg
for i in prg(range(10), prefix="A demonstration", suffix="\n", redirect_stdout=True):
sleep(0.1)
print(i)
その際、log.txtの中身は
A demonstration 0% (0 of 10) | | Elapsed Time: 0:00:00 ETA: --:--:--
0
A demonstration 0% (0 of 10) | | Elapsed Time: 0:00:00 ETA: --:--:--
1
A demonstration 10% (1 of 10) |####### | Elapsed Time: 0:00:00 ETA: 0:00:01
2
A demonstration 20% (2 of 10) |############### | Elapsed Time: 0:00:00 ETA: 0:00:01
3
A demonstration 30% (3 of 10) |###################### | Elapsed Time: 0:00:00 ETA: 0:00:00
4
A demonstration 40% (4 of 10) |############################## | Elapsed Time: 0:00:00 ETA: 0:00:00
5
A demonstration 50% (5 of 10) |##################################### | Elapsed Time: 0:00:00 ETA: 0:00:00
6
A demonstration 60% (6 of 10) |############################################# | Elapsed Time: 0:00:00 ETA: 0:00:00
7
A demonstration 70% (7 of 10) |#################################################### | Elapsed Time: 0:00:00 ETA: 0:00:00
8
A demonstration 80% (8 of 10) |############################################################ | Elapsed Time: 0:00:00 ETA: 0:00:00
9
A demonstration 90% (9 of 10) |################################################################### | Elapsed Time: 0:00:01 ETA: 0:00:00
A demonstration100% (10 of 10) |##########################################################################| Elapsed Time: 0:00:01 Time: 0:00:01
