A relatively simple python program to generate one of those reddit text to speech videos dominating youtube.

Last update: Dec 19, 2022

Related tags

Text Data & NLP reddit-tts-generator

Overview

Reddit text to speech generator

A basic reddit tts video generator

Current functionality

Generate videos for subs based on comments,(askreddit) so reading individual comments
Generate videos for subs with longer posts,(entitledparents), so slicing the post into multiple frames to fit the text.

Todo

Get comments based on the permalink
Generate mp3 and jpg of the post and its comments; concatenate both of them for a clip, them combine all the clip into one file
Migrate to praw
Ability to generate tts for post based subreddits (r/nosleep or r/relationships)
REFACTOR YOUR CODE YOU PIG
Better post/comment formatting
- Nsfw filter
- Converting links and emojis to plain text
Visual enhancements
- Slicing longer posts into to frames or jpg(s)
- Adding the author, and upvotes
Wrapping it all up into a nice tkinter gui
- Viewing post title and clicking "yes" or "no" to create a video of it or not

Usage

Chug in your app credentials in credentials.json
do pip install -r requirements.txt to install all the dependencies and then, run main.py

Backburners

Random timing issue with comments and their corresponding mp3(s)

Owner

Aadvik

I automate stuff with python, and occasionally work with nodejs. Also, coffee is overrated.

Aadvik

GitHub Repository

Sentello is python script that simulates the anti-evasion and anti-analysis techniques used by malware.

sentello Sentello is a python script that simulates the anti-evasion and anti-analysis techniques used by malware. For techniques that are difficult t

62 Oct 02, 2022

A Lightweight NLP Data Loader for All Deep Learning Frameworks in Python

LineFlow: Framework-Agnostic NLP Data Loader in Python LineFlow is a simple text dataset loader for NLP deep learning tasks. LineFlow was designed to

177 Jan 04, 2023

ThinkTwice: A Two-Stage Method for Long-Text Machine Reading Comprehension

ThinkTwice ThinkTwice is a retriever-reader architecture for solving long-text machine reading comprehension. It is based on the paper: ThinkTwice: A

4 Aug 06, 2021

A very simple framework for state-of-the-art Natural Language Processing (NLP)

A very simple framework for state-of-the-art NLP. Developed by Humboldt University of Berlin and friends. Flair is: A powerful NLP library. Flair allo

12.3k Jan 02, 2023

MILES is a multilingual text simplifier inspired by LSBert - A BERT-based lexical simplification approach proposed in 2018. Unlike LSBert, MILES uses the bert-base-multilingual-uncased model, as well as simple language-agnostic approaches to complex word identification (CWI) and candidate ranking.

MILES Multilingual Lexical Simplifier Explore the docs » Read LSBert Paper · Report Bug · Request Feature About The Project MILES is a multilingual te

45 Oct 19, 2022

Create a semantic search engine with a neural network (i.e. BERT) whose knowledge base can be updated

Create a semantic search engine with a neural network (i.e. BERT) whose knowledge base can be updated. This engine can later be used for downstream tasks in NLP such as Q&A, summarization, generation

1 Mar 20, 2022

A Structured Self-attentive Sentence Embedding

Structured Self-attentive sentence embeddings Implementation for the paper A Structured Self-Attentive Sentence Embedding, which was published in ICLR

488 Nov 28, 2022

Codes to pre-train Japanese T5 models

t5-japanese Codes to pre-train a T5 (Text-to-Text Transfer Transformer) model pre-trained on Japanese web texts. The model is available at https://hug

37 Dec 25, 2022

Utilize Korean BERT model in sentence-transformers library

ko-sentence-transformers 이 프로젝트는 KoBERT 모델을 sentence-transformers 에서 보다 쉽게 사용하기 위해 만들어졌습니다. Ko-Sentence-BERT-SKTBERT 프로젝트에서는 KoBERT 모델을 sentence-trans

40 Dec 20, 2022

The code from the whylogs workshop in DataTalks.Club on 29 March 2022

whylogs Workshop The code from the whylogs workshop in DataTalks.Club on 29 March 2022 whylogs - The open source standard for data logging (Don't forg

12 Sep 05, 2022

Generate vector graphics from a textual caption

VectorAscent: Generate vector graphics from a textual description Example "a painting of an evergreen tree" python text_to_painting.py --prompt "a pai

97 Dec 15, 2022

[EMNLP 2021] LM-Critic: Language Models for Unsupervised Grammatical Error Correction

LM-Critic: Language Models for Unsupervised Grammatical Error Correction This repo provides the source code & data of our paper: LM-Critic: Language M

98 Nov 24, 2022

TalkNet: Audio-visual active speaker detection Model

Is someone talking? TalkNet: Audio-visual active speaker detection Model This repository contains the code for our ACM MM 2021 paper, TalkNet, an acti

142 Dec 14, 2022

Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.

CTC Decoding Algorithms Update 2021: installable Python package Python implementation of some common Connectionist Temporal Classification (CTC) decod

736 Jan 03, 2023

Use AutoModelForSeq2SeqLM in Huggingface Transformers to train COMET

Training COMET using seq2seq setting Use AutoModelForSeq2SeqLM in Huggingface Transformers to train COMET. The codes are modified from run_summarizati

9 Dec 17, 2022

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language mod

20.5k Jan 08, 2023

Just Another Telegram Ai Chat Bot Written In Python With Pyrogram.

OkaeriChatBot Just another Telegram AI chat bot written in Python using Pyrogram. Requirements Python 3.7 or higher.

2 Dec 23, 2021

Code for Findings of ACL 2022 Paper "Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors"

SWRM Code for Findings of ACL 2022 Paper "Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors" Clone Clone th

14 Jan 03, 2023

The proliferation of disinformation across social media has led the application of deep learning techniques to detect fake news.

Fake News Detection Overview The proliferation of disinformation across social media has led the application of deep learning techniques to detect fak

1 Feb 08, 2022

Utilizing RBERT model for KLUE Relation Extraction task

RBERT for Relation Extraction task for KLUE Project Description Relation Extraction task is one of the task of Korean Language Understanding Evaluatio

14 Nov 15, 2022