https://github.com/fg2300/redstor

https://github.com/fg2300/redstor

Science Score: 13.0%

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    Low similarity (12.5%) to scientific vocabulary
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Repository

Basic Info
  • Host: GitHub
  • Owner: FG2300
  • License: agpl-3.0
  • Language: Python
  • Default Branch: main
  • Size: 21.6 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License

README.md

NarReddit

NarReddit is a script that automates the process of converting top-rated Reddit posts into engaging, Subway Surfers-style TikTok narrations. It supports translation into multiple languages, enabling you to transform a single trending Reddit post into multilingual video content, all in an automated fashion!

Features

  • Content Generation: NarReddit uses GPT-4 to enhance and translate Reddit posts, enabling the creation of multilingual content.

  • Reddit Scraping: The script scrapes your chosen subreddit to find the highest-rated post.

  • Intelligent Text-to-Speech (TTS) Audio Generation: NarReddit generates TTS audio from the post, intelligently determining the speaker's gender and adjusting the TTS voice accordingly.

  • Subtitles Creation: NarReddit can also create subtitles for the generated audio.

  • Video Overlays: The script overlays the generated audio and subtitles onto a selected background video, creating a complete, ready-to-upload video.

Web Alternative: NarReddit Alpha

Setting up NarReddit locally can be a hassle. From the challenge of obtaining a GPT-4 access to dealing with configurations and dependencies, there's a lot to manage. If you want a smoother experience, why not try the web alternative? We are excited to introduce NarReddit Alpha – a web app that offers the same functionality without the setup complexities. It's currently in alpha, but give it a whirl and enjoy the convenience of online NarReddit!

Setup

Follow these steps to set up NarReddit:

  1. Install ffmpeg and make it accessible via the $PATH environment variable. More information

  2. Install the required dependencies by running pip install -r requirements.txt.

  3. Place your preferred video files to be used as backgrounds in the background-videos directory.

  4. Create a new Reddit application at this link. Choose 'script' from the radio button menu and set the redirect URI to http://localhost:8080.

  5. Set up the Gentle forced aligner and start the server.

  6. Sign up for an Elevenlabs account if you don't have one already.

  7. Obtain an OpenAI API key.

  8. Create a .env file using the .env.template provided in the repository.

  9. Populate the .env variables as per your requirements.

  • Note: You can adjust the character limit for posts in the .env file. It's advisable to use a limit other than the defaults to avoid exhausting your Elevenlabs API character limit too quickly.

  • Note: You'll need an API key with access to GPT-4 for this feature. Bear in mind that using GPT-4 may result in higher API costs.

  1. Run the script to start creating engaging video content from top-rated Reddit posts!

Owner

  • Login: FG2300
  • Kind: user

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Dependencies

requirements.txt pypi
  • Pygments ==2.15.1
  • aiohttp ==3.8.4
  • aiosignal ==1.3.1
  • asttokens ==2.2.1
  • async-timeout ==4.0.2
  • attrs ==23.1.0
  • backcall ==0.2.0
  • certifi ==2023.5.7
  • charset-normalizer ==3.1.0
  • colorama ==0.4.6
  • decorator ==5.1.1
  • elevenlabs ==0.2.15
  • executing ==1.2.0
  • ffmpeg-python ==0.2.0
  • frozenlist ==1.3.3
  • future ==0.18.3
  • idna ==3.4
  • ipython ==8.13.2
  • jedi ==0.18.2
  • matplotlib-inline ==0.1.6
  • multidict ==6.0.4
  • openai ==0.27.8
  • parso ==0.8.3
  • pickleshare ==0.7.5
  • praw ==7.7.0
  • prawcore ==2.3.0
  • prompt-toolkit ==3.0.38
  • pure-eval ==0.2.2
  • pydantic ==1.10.8
  • python-dotenv ==1.0.0
  • requests ==2.31.0
  • six ==1.16.0
  • stack-data ==0.6.2
  • tqdm ==4.65.0
  • traitlets ==5.9.0
  • typing_extensions ==4.6.2
  • update-checker ==0.18.0
  • urllib3 ==2.0.2
  • wcwidth ==0.2.6
  • websocket-client ==1.5.2
  • yarl ==1.9.2