🤖 Automatic uzimaru bot projects🤖
This project is a twitter bot like @uzimaru0000
projects:
Twitter client implementations for @ujimaru0000
Written in Rust. (Using Kuon)
Just below.
let api: kuon::TwitterAPI = get_api_client().await?;
let endpoint = &std::env::var("UJIMARU_API")?;
let text = reqwest::get(endpoint).await?.text().await?;
api.tweet(&text).await?;
Twitter crawler to collect tweets of Uzimaru and other users.
Written in Go. (Using anaconda)
Text generation API for ujimaru.
Written in Python. (Using markovify and ujimaru-markov-model)
This is a flask application, and deployed on the Cloud Run.
Implementations and experiments.
An easy ujimaru(uzimaru0000 like) text generator library.
PyPI: ujimaru-markov-model
This library generates text using a third-order Markov chain.
pip install ujimaru-markov-model
# On CLI
ujimaru
# へーー自然を撮るならいいってことか(それはそうなんだけど普通のRTになってるって!
or
# In a Python program
# load model (model included).
from ujimaru_markov_model import Ujimaru
ujimaru = Ujimaru()
print(ujimaru.make_sentence())
# なんでかElmでCLI作って得られた知見をいくつかqiitaとかにいれておいてcpすることにします!!
print(ujimaru.make_tweet()) # A sentence of 140 characters or less
# 検索しても無限にredux-thunkが出てきて「なっっっっつ」ってなったけど0.1.0のtagを打ったらちゃんとブランチ分けます
A text generation program by reformer and sentencepiece.
see below
This program will use your computer resources extremely.
You should use Google Colaboratory to run this model.