https://github.com/ewanc26/mastodon-markov

a Mastodon bot based on a set of posts digested by the Markov chain.
https://github.com/ewanc26/mastodon-markov

Last synced: about 2 months ago
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a Mastodon bot based on a set of posts digested by the Markov chain.

• Host: GitHub
• URL: https://github.com/ewanc26/mastodon-markov
• Owner: ewanc26
• License: mit
• Created: 2024-03-02T17:42:24.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-04-07T14:56:33.000Z (10 months ago)
• Last Synced: 2024-04-07T19:38:42.985Z (10 months ago)
• Language: Python
• Homepage:
• Size: 26.4 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Mastodon Markov Bot

[![No Maintenance Intended](http://unmaintained.tech/badge.svg)](http://unmaintained.tech/)

This Python script generates Markov chain text based on the posts of a Mastodon account and posts them to another Mastodon account. It also periodically updates its dataset and posts a new status.

## Setup

1. Clone this repository or download the script `chain.py`.

2. Install the required dependencies by running:

   ```bash

   pip install markovchain mastodon.py python-dotenv

   ```

3. Create a `.env` file in the same directory as the script and add the following variables:

   ```env

   MASTODON_BASE_URL=

   MASTODON_ACCESS_TOKEN=

   DESTINATION_MASTODON_BASE_URL=

   DESTINATION_MASTODON_ACCESS_TOKEN=

   DESTINATION_MASTODON_CHAR_LIMIT=

   SOURCE_MASTODON_ACCOUNT_ID=

   ```

## Usage

1. Run the script by executing in the repository directory:

   ```bash

   python chain.py

   ```

2. The script will fetch recent posts from the source Mastodon account, generate Markov chain text, and post it to the destination Mastodon account at random intervals between 30 minutes and 3 hours.

3. Press `Ctrl+C` to stop the script.

## Notes

- Ensure that both the source and destination Mastodon accounts have appropriate permissions and visibility settings for posting.

- If you need to change any Mastodon or environment variables, update them in the `.env` file.

- Make sure to customise the script according to your needs, such as adjusting the character limit for generated text or the update interval for the dataset.