# llm-markov
[](https://pypi.org/project/llm-markov/)
[](https://github.com/simonw/llm-markov/releases)
[](https://github.com/simonw/llm-markov/actions?query=workflow%3ATest)
[](https://github.com/simonw/llm-markov/blob/main/LICENSE)
Plugin for [LLM](https://llm.datasette.io/) adding a [Markov chain](https://en.wikipedia.org/wiki/Markov_chain) generating model
## Installation
Install this plugin in the same environment as LLM.
```bash
llm install llm-markov
```
## Usage
This plugin adds a model called `markov`. You can execute it like this:
```bash
llm -m markov "The quick brown fox jumps over the lazy dog"
```
My default it will produce 100 words. You can control the number of words with the `-o number` option:
```bash
llm -m markov -o 20 "The quick brown fox jumps over the lazy dog"
```
A delay of 0.02s is simulated between each token. You can modify this using the `-o delay` option - to `0` to disable it, or some other floating point number of seconds to customize it:
```bash
llm -m markov "The quick brown fox jumps over the lazy dog" -o delay 0
llm -m markov "The quick brown fox jumps over the lazy dog" -o delay 0.1 -o length 20
```
## Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
cd llm-markov
python3 -m venv venv
source venv/bin/activate
Now install the dependencies and test dependencies:
pip install -e '.[test]'
To run the tests:
pytest
Raw data
{
"_id": null,
"home_page": "https://github.com/simonw/llm-markov",
"name": "llm-markov",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.7",
"maintainer_email": "",
"keywords": "",
"author": "Simon Willison",
"author_email": "",
"download_url": "https://files.pythonhosted.org/packages/54/c5/ad7db3d895e423cf4fdb546e3c58122dbf0b5e335359df04d2e0c34f84a5/llm-markov-0.1.tar.gz",
"platform": null,
"description": "# llm-markov\n\n[](https://pypi.org/project/llm-markov/)\n[](https://github.com/simonw/llm-markov/releases)\n[](https://github.com/simonw/llm-markov/actions?query=workflow%3ATest)\n[](https://github.com/simonw/llm-markov/blob/main/LICENSE)\n\nPlugin for [LLM](https://llm.datasette.io/) adding a [Markov chain](https://en.wikipedia.org/wiki/Markov_chain) generating model\n\n## Installation\n\nInstall this plugin in the same environment as LLM.\n```bash\nllm install llm-markov\n```\n## Usage\n\nThis plugin adds a model called `markov`. You can execute it like this:\n\n```bash\nllm -m markov \"The quick brown fox jumps over the lazy dog\"\n```\n\nMy default it will produce 100 words. You can control the number of words with the `-o number` option:\n\n```bash\nllm -m markov -o 20 \"The quick brown fox jumps over the lazy dog\"\n```\nA delay of 0.02s is simulated between each token. You can modify this using the `-o delay` option - to `0` to disable it, or some other floating point number of seconds to customize it:\n\n```bash\nllm -m markov \"The quick brown fox jumps over the lazy dog\" -o delay 0\nllm -m markov \"The quick brown fox jumps over the lazy dog\" -o delay 0.1 -o length 20\n```\n\n## Development\n\nTo set up this plugin locally, first checkout the code. Then create a new virtual environment:\n\n cd llm-markov\n python3 -m venv venv\n source venv/bin/activate\n\nNow install the dependencies and test dependencies:\n\n pip install -e '.[test]'\n\nTo run the tests:\n\n pytest\n",
"bugtrack_url": null,
"license": "Apache License, Version 2.0",
"summary": "Plugin for LLM adding a Markov chain generating model",
"version": "0.1",
"project_urls": {
"CI": "https://github.com/simonw/llm-markov/actions",
"Changelog": "https://github.com/simonw/llm-markov/releases",
"Homepage": "https://github.com/simonw/llm-markov",
"Issues": "https://github.com/simonw/llm-markov/issues"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "8b51f54a03ee5b4aac58f714a25940e92864b69a3ca0e264eb5810e613cd848a",
"md5": "8f181c1bb2cb117eaae3974bcf0343ad",
"sha256": "00512a2a0d7a047961a42a263509f76977971fd4a861753eba7ca2c8095fde7b"
},
"downloads": -1,
"filename": "llm_markov-0.1-py3-none-any.whl",
"has_sig": false,
"md5_digest": "8f181c1bb2cb117eaae3974bcf0343ad",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.7",
"size": 7156,
"upload_time": "2023-07-12T14:39:09",
"upload_time_iso_8601": "2023-07-12T14:39:09.885624Z",
"url": "https://files.pythonhosted.org/packages/8b/51/f54a03ee5b4aac58f714a25940e92864b69a3ca0e264eb5810e613cd848a/llm_markov-0.1-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "54c5ad7db3d895e423cf4fdb546e3c58122dbf0b5e335359df04d2e0c34f84a5",
"md5": "93c3353cc0170f1606896de09a38da91",
"sha256": "1dff3a5c433ccdbc705cf2087cdc173db2a8c785b7761d7fcfb049a0362ec3a3"
},
"downloads": -1,
"filename": "llm-markov-0.1.tar.gz",
"has_sig": false,
"md5_digest": "93c3353cc0170f1606896de09a38da91",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.7",
"size": 7206,
"upload_time": "2023-07-12T14:39:11",
"upload_time_iso_8601": "2023-07-12T14:39:11.330801Z",
"url": "https://files.pythonhosted.org/packages/54/c5/ad7db3d895e423cf4fdb546e3c58122dbf0b5e335359df04d2e0c34f84a5/llm-markov-0.1.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-07-12 14:39:11",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "simonw",
"github_project": "llm-markov",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "llm-markov"
}
JSON
