Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/wwakabobik/ai_engines
Collection of AI engines (apis) and utils
https://github.com/wwakabobik/ai_engines
ai async-api dalle2 leonardo leonardo-api openai-api openai-chatgpt
Last synced: 5 days ago
JSON representation
Collection of AI engines (apis) and utils
- Host: GitHub
- URL: https://github.com/wwakabobik/ai_engines
- Owner: wwakabobik
- License: mit
- Created: 2023-08-25T16:59:22.000Z (about 1 year ago)
- Default Branch: master
- Last Pushed: 2024-09-18T11:50:39.000Z (about 2 months ago)
- Last Synced: 2024-09-18T16:40:11.330Z (about 2 months ago)
- Topics: ai, async-api, dalle2, leonardo, leonardo-api, openai-api, openai-chatgpt
- Language: Python
- Homepage:
- Size: 366 KB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Security: SECURITY.md
Awesome Lists containing this project
README
# AI Engines
This is playground and utils libraries for AI stuff.
It is not a framework, but a collection of useful tools and examples. It's not a pinned repo, not a featured and supported, and in general violates all the best practices of software development. But it's a good place to start. At the beginning and the end of all, this repo contains stuff that I mentioned in my articles, thus, refer to [my blog](https://wwakabobik.github.io/) posts first.
## What you can find here
- [x] [**examples**](/examples) - a collection of examples of AI projects, including:
- [x] [image_generation](/examples/image_generation) - see [article](https://wwakabobik.github.io/2023/11/ai_image_generators_api/) first, this is example of image generation with LLM via API
- [x] [speak_and_hear](/examples/speak_and_hear) - see [article](https://wwakabobik.github.io/2023/09/ai_learning_to_hear_and_speak/) first, this is LLM speech recognition and TTS example
- [x] [test_generator](/examples/test_generator) - see [article](https://wwakabobik.github.io/2023/10/qa_ai_practices_used_for_qa/) first, this is QA automatic tests generator
- [x] [llm_api_comparison](/examples/llm_api_comparison) - see [article](https://wwakabobik.github.io/2023/12/ai_llms_2023/) first, this is LLM API comparison for 2023
- [x] [**utils**](/utils) - a collection of useful tools for AI development, in general them all of them used in example projects:
- [x] [article_extractor](/utils/article_extractor.py) - limbo for article extraction from web pages
- [x] [audio_recorder](/utils/audio_recorder.py) - a simple audio recorder, used in speech recognition / TTS examples
- [x] [discord_interations](/utils/discord_interactions.py) - a simple discord interactions wrapper, used to fire self-bot commands
- [x] [discord_watcher](/utils/discord_watcher.py) - a simple discord watcher bot, used to watch for messages in discord channels and get content (urls)
- [x] [llm_timer_wrapper](/utils/llm_timer_wrapper.py) - a simple timer wrapper for LLM APIs, used for benchmarking of models
- [x] [logger_config](/utils/logger_config.py) - general logger
- [x] [other](/utils/other.py) - all that doesn't fit in other files, i.e. env checkers
- [x] [page_retriever](/utils/page_retriever.py) - web page retriever and parser
- [x] [transcriptors](/utils/transcriptors.py) - custom transcriptors wrappers for speech recognition
- [x] [translators](/utils/translators.py) - custom translators for text translation wrappers
- [x] [tts](/utils/tts.py) - custom TTS engines wrappers
## Running up that hill
Once again, refer to [my blog](https://wwakabobik.github.io/) posts first. If you do so, you may try exec some top-level scripts from parent directory:
```bash
git clone [email protected]:wwakabobik/ai_engines.git # clone this repo
cd ai_engines # go to repo directory
# It's highly recommended to use python 3.11+ and venv
python -m venv venv # create virtual environment
source venv/bin/activate # activate virtual environment
pip install -r requirements.txt # install dependencies
# then you may run some top-level script, like:
PYTHONPATH=. python -m examples.test_generator.generator_test
PYTHONPATH=. python -m examples.speak_and_hear.test_gpt
```
Well, in most cases you need to create cred file to run examples, so, create `creds.py` under `examples` directory and fill it with your credentials, like:
```python
# -*- coding: utf-8 -*-
"""Creds file"""
oai_token = "alksjdlksajlkdjlajiouoieuoqijnc"
oai_organization = "slkahkdjshakjhfkjafs"
cohere_token = "saklljlkdjsaldjljasldjlsak"
llama_token="asiuoiduaosudouasosuoduoqoihicdhzch"
ablt_token="sadhsakhdajskhaskdkja"
claude_token="dkshjjsdhkjdshkjhskj"
openweathermap_appid = "salkdjaslkjldasjlkdasl"
midjourney_cookie="skjaklshkldfhkjsahjhfkjbkfsa"
```
GL&HF!