Takes a string and puts it through different languages in Google Translate a requested amount of times, returning nonsense.

Overview

PythonTextObfuscator

Takes a string and puts it through different languages in Google Translate a requested amount of times, returning nonsense. Example

Requirements:

python3

For the Selenium Obfuscator:

    -Selenium
    
    -Firefox
    
    -Geckodriver

In the Selenium Obfuscator:

-The major benefit is that you can translate excel documents, the downside is that after 10 or so document translations, Google blocks your ip for a while.

-Translation is generally slower and more limited using selenium as a browser tab is being used to scrape the data. Also beware of RAM usage.

-May no longer be supported in the future due to its drawbacks.

In the Urllib Obfuscator:

-Translation is generally faster and uses very little resources as only html is downloaded through a request. Multiprocessing also allows simultanious requests and can be used to the full extent without worrying about RAM usage.

—Split by length is faster and uses less requests (better for longer texts)

—Split by newline is slower and uses more requests but adds much more translation variety.

-Reminder: Since google has a url request limit, you'll need to switch VPN locations when the request limit is hit.

    ——Don't worry too much though, as it takes quite a bit of requests to get to that point, and the block only lasts for around an hour.
You might also like...
Translate - a PyTorch Language Library

NOTE PyTorch Translate is now deprecated, please use fairseq instead. Translate - a PyTorch Language Library Translate is a library for machine transl

Auto translate textbox from Japanese to English or Indonesia
Auto translate textbox from Japanese to English or Indonesia

priconne-auto-translate Auto translate textbox from Japanese to English or Indonesia How to use Install python first, Anaconda is recommended Install

translate using your voice
translate using your voice

speech-to-text-translator Usage translate using your voice description this project makes translating a word easy, all you have to do is speak and...

translate using your voice

speech-to-text-translator Usage translate using your voice description this project makes translating a word easy, all you have to do is speak and...

This program do translate english words to portuguese

Python-Dictionary This program is used to translate english words to portuguese. Web-Scraping This program use BeautifulSoap to make web scraping, so

Translate U is capable of translating the text present in an image from one language to the other.
Translate U is capable of translating the text present in an image from one language to the other.

Translate U is capable of translating the text present in an image from one language to the other. The app uses OCR and Google translate to identify and translate across 80+ languages.

Graphical user interface for Argos Translate
Graphical user interface for Argos Translate

Argos Translate GUI Website | GitHub | PyPI Graphical user interface for Argos Translate. Install pip3 install argostranslategui

Use the state-of-the-art m2m100 to translate large data on CPU/GPU/TPU. Super Easy!
Use the state-of-the-art m2m100 to translate large data on CPU/GPU/TPU. Super Easy!

Easy-Translate is a script for translating large text files in your machine using the M2M100 models from Facebook/Meta AI. We also privide a script fo

Search for documents in a domain through Google. The objective is to extract metadata

MetaFinder - Metadata search through Google _____ __ ___________ .__ .___ / \

Comments
  • Attempt to decode JSON with unexpected mimetype: text/plain

    Attempt to decode JSON with unexpected mimetype: text/plain

    I'm not sure what's causing this, as the last time I tried this release, this issue was not present. If it's accessing content server-side, then it might be that the server has had a config change resulting in it returning a different mimetype?

    I get the error message below consistently in the console, with %2E being added to the end of the URL each time. It does seem like some translation does happen; in this case, I inputted "Test", and the URL ended with "Hlola".

    https://translate.alefvanoon.xyz/api/v1/zu/mi/Hlola%2E 0, message='Attempt to decode JSON with unexpected mimetype: text/plain; charset=utf-8', url=URL('https://translate.alefvanoon.xyz/api/v1/zu/mi/Hlola')

    From what I've gathered looking online, the issue lies in either line 13, line 469, or both.

    return (await response.json())['translation'].replace('/','⁄')

    text = (await response.json())['translation'].replace('/','⁄')

    Some of the solutions online referred to adding "content_type=None" or "content_type='text/plain'" into the brackets after "json", but this only seemed to cause further issues for me.

    opened by UltraHylia 2
  • Program Freezes Up and Looping Error

    Program Freezes Up and Looping Error

    When you have Chinese (Simplified) and/or Chinese (Traditional) enabled in the language selector, the program can freeze and an error loops in the console. It happens no matter what other languages are enabled.

    https://user-images.githubusercontent.com/60769253/197659506-38871035-e311-4710-9eb9-ac2d7387841f.mp4

    opened by DerpTaco99921 0
Releases(v0.4)
  • v0.4(Feb 2, 2022)

    Rebuilt from the ground up with a new GUI and translation method.

    Changes:

    -Improved GUI.

    -Translations are retrieved from a front-end to Google Translate called Lingva, which removes the issue with being blocked for doing too many requests.

    -Translations are done in an asynchronous function using aiohttp instead of a process pool, which is optimal for large bulk translations.

    -Removed selenium obfuscation.

    Additions: -Importing and saving text files. -Language Selector to activate or deactivate any individual language. -Language setting for the result. -Three different split methods: ____-Initial ________-Text is split by length before being passed into the obfuscate function. ________-Faster as less requests are made. ________-Different languages for each piece. ________-Tabs not preserved. ____-Continuous ________-Text is split by length inside the obfuscate function. ________-Faster as less requests are made. ________-Same languages for each piece. ________-Tabs not preserved. ____-Newline ________-Text is split by newlines and tabs. ________-Slower as more requests are made. ________-Every single line is translated with different languages. ________-Tabs preserved. -Translation Generator which creates a .csv file containing multiple translations of the same text: ____-Repeat mode obfuscates the original text each time, adding the result in each new column. ____-Continue mode obfuscates the results from each subsequent obfuscation, adding the result in each new column.

    Source code(tar.gz)
    Source code(zip)
    Python.Text.Obfuscator.v0.4.zip(15.75 KB)
  • v0.3.1c-r2(Dec 23, 2021)

  • v0.3.1c(Dec 23, 2021)

    Newlines no longer get messed up in Urllib Obfuscator. Added a choice to split by length or by newlines. —Split by length is faster and uses less requests (better for longer texts) —Split by newline is slower and uses more requests but adds much more translation variety. Reminder: Since google has a URL request limit, you'll need to switch VPN locations when the request limit is hit.

    Source code(tar.gz)
    Source code(zip)
    Python.Text.Obfuscator.v0.3.1c.zip(51.63 KB)
  • v0.3.1b(Dec 23, 2021)

  • v0.3.1a(Dec 23, 2021)

  • v0.3(Dec 23, 2021)

    I made massive improvements to the speed of the obfuscation thanks to learning about urllib.

    For example, I did translated the same ~2300 character long string of text 10 times in the old and new version; the old one took 38.8 seconds while the new one took only 6.8 seconds.

    In addition, the capacity to add a larger amount of characters is far increased as it doesn't require Firefox tabs to be open and eating up ram.

    As a test I translated the entire Among Us Wikipedia page 50 times (with a character count of over 60 thousand!), and it only took only 114 seconds to finish translating. Using the old obfuscator I wouldn't be able to translate more than half that amount, and it would take ages to complete (Like 10 mins or more).

    Unfortunately for this version the Excel Obfuscator is removed until I can figure out how to get it to work in urllib, if I can't then I'll probably add it back it with Selenium.

    At least if you couldn't get selenium to work on your computer for the previous versions you don't have to worry about getting it for this.

    Source code(tar.gz)
    Source code(zip)
    Python.Text.Obfuscator.v0.3.zip(5.73 KB)
  • v0.2.2(Dec 23, 2021)

  • v0.2.1b(Dec 23, 2021)

  • v0.2.1a(Dec 23, 2021)

    Fixed TimeoutExceptions for the string translations (textbox input) obfuscation. You can now do as many translations as you want without worrying about encountering an error. Same for amount of characters (as long as your PC can handle of course). As for excel translations they remain unchanged — since I can't do anything about Google's Document translation limit — so just switch locations on VPN like usual after 10 translations for the Excel Obfuscator.

    Source code(tar.gz)
    Source code(zip)
    Python.Text.Obfuscator.v0.2.1.zip(5.88 KB)
  • v0.2(Dec 23, 2021)

  • v0.1b(Dec 23, 2021)

  • v0.1a(Dec 23, 2021)

Ukrainian TTS (text-to-speech) using Coqui TTS

title emoji colorFrom colorTo sdk app_file pinned Ukrainian TTS 🐸 green green gradio app.py false Ukrainian TTS 📢 🤖 Ukrainian TTS (text-to-speech)

Yurii Paniv 85 Dec 26, 2022
Kestrel Threat Hunting Language

Kestrel Threat Hunting Language What is Kestrel? Why we need it? How to hunt with XDR support? What is the science behind it? You can find all the ans

Open Cybersecurity Alliance 201 Dec 16, 2022
test

Lidar-data-decode In this project, you can decode your lidar data frame(pcap file) and make your own datasets(test dataset) in Windows without any hug

46 Dec 05, 2022
This project uses word frequency and Term Frequency-Inverse Document Frequency to summarize a text.

Text Summarizer This project uses word frequency and Term Frequency-Inverse Document Frequency to summarize a text. Team Members This mini-project was

1 Nov 16, 2021
Smart discord chatbot integrated with Dialogflow to manage different classrooms and assist in teaching!

smart-school-chatbot Smart discord chatbot integrated with Dialogflow to interact with students naturally and manage different classes in a school. De

Tom Huynh 5 Oct 24, 2022
DziriBERT: a Pre-trained Language Model for the Algerian Dialect

DziriBERT is the first Transformer-based Language Model that has been pre-trained specifically for the Algerian Dialect.

117 Jan 07, 2023
Unet-TTS: Improving Unseen Speaker and Style Transfer in One-shot Voice Cloning

Unet-TTS: Improving Unseen Speaker and Style Transfer in One-shot Voice Cloning English | 中文 ❗ Now we provide inferencing code and pre-training models

164 Jan 02, 2023
Converts python code into c++ by using OpenAI CODEX.

🦾 codex_py2cpp 🤖 OpenAI Codex Python to C++ Code Generator Your Python Code is too slow? 🐌 You want to speed it up but forgot how to code in C++? ⌨

Alexander 423 Jan 01, 2023
ETM - R package for Topic Modelling in Embedding Spaces

ETM - R package for Topic Modelling in Embedding Spaces This repository contains an R package called topicmodels.etm which is an implementation of ETM

bnosac 37 Nov 06, 2022
gaiic2021-track3-小布助手对话短文本语义匹配复赛rank3、决赛rank4

决赛答辩已经过去一段时间了,我们队伍ac milan最终获得了复赛第3,决赛第4的成绩。在此首先感谢一些队友的carry~ 经过2个多月的比赛,学习收获了很多,也认识了很多大佬,在这里记录一下自己的参赛体验和学习收获。

102 Dec 19, 2022
[ICCV 2021] Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification

Counterfactual Attention Learning Created by Yongming Rao*, Guangyi Chen*, Jiwen Lu, Jie Zhou This repository contains PyTorch implementation for ICCV

Yongming Rao 89 Dec 18, 2022
VMD Audio/Text control with natural language

This repository is a proof of principle for performing Molecular Dynamics analysis, in this case with the program VMD, via natural language commands.

Andrew White 13 Jun 09, 2022
Topic Inference with Zeroshot models

zeroshot_topics Table of Contents Installation Usage License Installation zeroshot_topics is distributed on PyPI as a universal wheel and is available

Rita Anjana 55 Nov 28, 2022
Legal text retrieval for python

legal-text-retrieval Overview This system contains 2 steps: generate training data containing negative sample found by mixture score of cosine(tfidf)

Nguyễn Minh Phương 22 Dec 06, 2022
Spam filtering made easy for you

spammy Author: Tasdik Rahman Latest version: 1.0.3 Contents 1 Overview 2 Features 3 Example 3.1 Accuracy of the classifier 4 Installation 4.1 Upgradin

Tasdik Rahman 137 Dec 18, 2022
Contract Understanding Atticus Dataset

Contract Understanding Atticus Dataset This repository contains code for the Contract Understanding Atticus Dataset (CUAD), a dataset for legal contra

The Atticus Project 273 Dec 17, 2022
A Telegram bot to add notes to Flomo.

flomo bot 使用 Telegram 机器人发送笔记到你的 Flomo. 你需要有一台可访问 Telegram 的服务器。 Steps @BotFather 新建机器人,获取 token Flomo 官网获取 API,链接 https://flomoapp.com/mine?source=in

Zhen 44 Dec 30, 2022
Speech Recognition for Uyghur using Speech transformer

Speech Recognition for Uyghur using Speech transformer Training: this model using CTC loss and Cross Entropy loss for training. Download pretrained mo

Uyghur 11 Nov 17, 2022
PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

VAENAR-TTS - PyTorch Implementation PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

Keon Lee 67 Nov 14, 2022