https://github.com/alchaplinsky/gen-ai
✨ Generative AI toolset for Ruby ✨
https://github.com/alchaplinsky/gen-ai
ai artificial-intelligence gemini generative-ai google-palm-ai llm openai ruby-ai stability-ai stable-diffusion
Last synced: about 1 year ago
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✨ Generative AI toolset for Ruby ✨
- Host: GitHub
- URL: https://github.com/alchaplinsky/gen-ai
- Owner: alchaplinsky
- License: mit
- Created: 2023-10-15T12:08:00.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-10-11T15:41:45.000Z (over 1 year ago)
- Last Synced: 2025-04-02T07:11:13.254Z (about 1 year ago)
- Topics: ai, artificial-intelligence, gemini, generative-ai, google-palm-ai, llm, openai, ruby-ai, stability-ai, stable-diffusion
- Language: Ruby
- Homepage:
- Size: 2.32 MB
- Stars: 32
- Watchers: 3
- Forks: 4
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
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README
# GenAI
✨ Generative AI toolset for Ruby ✨
GenAI allows you to easily integrate Generative AI model providers like OpenAI, Google Vertex AI, Stability AI, etc. Easily add Large Language Models, Stable Diffusion image generation, and other AI model integrations into your application!
[](https://badge.fury.io/rb/gen-ai)
[](https://github.com/alchaplinsky/gen-ai/blob/main/LICENSE.txt)
## Installation
Install the gem and add to the application's Gemfile by executing:
$ bundle add gen-ai
If bundler is not being used to manage dependencies, install the gem by executing:
$ gem install gen-ai
## Compatibility
This gem is compatible with Ruby 3.1 or greater.
## Usage
Require it in you code:
```ruby
require 'gen_ai'
```
### Feature support
✅ - Supported | ❌ - Not supported | 🛠️ - Work in progress
Language models capabilities
| Provider | Embedding | Completion | Conversation | Sentiment | Summarization |
| ----------------- | :-------: | :--------: | :----------: | :-------: | :-----------: |
| **OpenAI** | ✅ | ✅ | ✅ | 🛠️ | 🛠️ |
| **Google Palm2** | ✅ | ✅ | ✅ | 🛠️ | 🛠️ |
| **Google Gemini** | ❌ | 🛠️ | ✅ | 🛠️ | 🛠️ |
| **Anthropic** | ❌ | ✅ | ✅ | 🛠️ | 🛠️ |
Image generation model capabilities
| Provider | Generate | Variations | Edit | Upscale |
| --------------- | :------: | :--------: | :--: | :-----: |
| **OpenAI** | ✅ | ✅ | ✅ | ❌ |
| **StabilityAI** | ✅ | ❌ | ✅ | ✅ |
### Language
Instantiate a language model client by passing a provider name and an API token.
```ruby
model = GenAI::Language.new(:open_ai, ENV['OPEN_AI_TOKEN'])
```
Generate **embedding(s)** for text using provider/model that fits your needs
```ruby
result = model.embed('Hi, how are you?')
# => #
result.value
# => [-0.013577374, 0.0021624255, 0.0019274801, ... ]
result = model.embed(['Hello', 'Bonjour', 'Cześć'])
# => #
result.values
# => [[-0.021834826, -0.007176527, -0.02836839,, ... ], [...], [...]]
```
Generate text **completions** using Large Language Models
```ruby
result = model.complete('London is a ', temperature: 0, max_tokens: 11)
# => #
result.value
# => "vibrant and diverse city located in the United Kingdom"
result = model.complete('London is a ', max_tokens: 12, n: 2)
# => #
result.values
# => ["thriving, bustling city known for its rich history.", "major global city and the capital of the United Kingdom."]
```
### Chat
Have a **conversation** with Large Language Model and Build your own AI chatbot.
Setting a context for the conversation is optional, but it helps the model to understand the topic of the conversation.
```ruby
chat = GenAI::Chat.new(:open_ai, ENV['OPEN_AI_TOKEN'])
chat.start(context: "You are a chat bot named Erl")
chat.message("Hi, what's your name")
# = >#
result.value
# => "I am a chatbot and you can call me Erl. How can I help you?""
```
Provider a history of the conversation to the model to help it understand the context of the conversation.
```ruby
history = [
{role: 'user', content: 'What is the capital of Great Britain?'},
{role: 'assistant', content: 'London'},
]
chat = GenAI::Chat.new(:open_ai, ENV['OPEN_AI_TOKEN'])
result = model.start(history: history)
result = model.message("what about France?")
# => #
result.value
# => "Paris"
```
### Image
Instantiate a image generation model client by passing a provider name and an API token.
```ruby
model = GenAI::Image.new(:open_ai, ENV['OPEN_AI_TOKEN'])
```
Generate **image(s)** using provider/model that fits your needs
```ruby
result = model.generate('A painting of a dog')
# => #
result.value
# => image binary
result.value(:base64)
# => image in base64
# Save image to file
File.open('dog.jpg', 'wb') do |f|
f.write(result.value)
end
```
Get more **variations** of the same image
```ruby
result = model.variations('./dog.jpg')
# => #
result.value
# => image binary
result.value(:base64)
# => image in base64
# Save image to file
File.open('dog_variation.jpg', 'wb') do |f|
f.write(result.value)
end
```
**Editing** existing images with additional prompt
```ruby
result = model.edit('./llama.jpg', 'A cute llama wearing a beret', mask: './mask.png')
# => #
result.value
# => image binary
result.value(:base64)
# => image in base64
# Save image to file
File.open('dog_edited.jpg', 'wb') do |f|
f.write(result.value)
end
```
## Development
After checking out the repo, run `bin/setup` to install dependencies. Then, run `rake spec` to run the tests. You can also run `bin/console` for an interactive prompt that will allow you to experiment.
To install this gem onto your local machine, run `bundle exec rake install`. To release a new version, update the version number in `version.rb`, and then run `bundle exec rake release`, which will create a git tag for the version, push git commits and the created tag, and push the `.gem` file to [rubygems.org](https://rubygems.org).
## Contributing
Bug reports and pull requests are welcome on GitHub at https://github.com/alchaplinsky/gen-ai. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the [code of conduct](https://github.com/alchaplinsky/gen-ai/blob/main/CODE_OF_CONDUCT.md).
## Code of Conduct
Everyone interacting in the GenAI project's codebases, issue trackers, chat rooms, and mailing lists is expected to follow the [code of conduct](https://github.com/alchaplinsky/gen-ai/blob/main/CODE_OF_CONDUCT.md).