💎 Gems

💎 GEMS: A cli, tui, and sdk for interacting with the Gemini API, allowing you to generate creative content, perform text-related tasks, and get information about supported models.

📖 Table of Contents

• Installation
• Features
• Usage
• Options
• Subcommands
• Examples
• Contributing
• License

🚀 Installation

To install the gems cli, use the following Cargo command:

cargo install --locked gems --all-features

✨ Features

• Interact with the Gemini API from the terminal.
• Generate creative content with ease.
• Stream generation of content for continuous output.
• Count the number of tokens in a text.
• Embed content into a specified model.
• Batch embed multiple contents efficiently.
• Get information about the current model and list available models.

Usage

Before using the gems CLI, make sure to set the following environment variables:

export GEMINI_API_KEY=<your_gemini_api_key>
export GEMINI_MODEL=<your_gemini_model>

Generate an api key from Google AI Studio.

⌨ Usage as CLI

Generate creative content:

gems generate -t "Hello"

Analyze an image and generate content from text:

curl -o image.jpg https://storage.googleapis.com/generativeai-downloads/images/scones.jpg

gems vision -i image.jpg

gems vision -i image.jpg -t "What's in the image?"

Stream generation of content:

gems stream -t "Generate a short fictional story"

Count the number of tokens in a text:

gems count -t "Hello There!"

Embed content into a specified model:

gems -m 'embedding-001' embed -t "Write a story about a magic backpack."

Batch embed multiple contents:

gems -m 'embedding-001' batch -t "Write a story about a magic backpack.","Generate a poem about nature."

Get information about the current model:

gems info

List available models:

gems list

🎨 Options

Option	Description
--api-key	Specify the API key for accessing the Gemini API.
--model	Specify the model to use for generating content.

🛠 Subcommands

Subcommand	Description
generate	Generate creative content.
vision	Analyze an image and generate content from text.
stream	Stream the generation of content.
count	Count the number of tokens in a text.
embed	Embed content into a specified model.
batch	Batch embed multiple contents.
info	Get information about the current model.
list	List available models.

✨ Usage as Dependency

1. Add the gems crate:

   [dependencies]
   gems = "0.0.7"

2. Use the Client struct to interact with the Gemini API:

   use gems::Client;
   
   #[tokio::main]
   async fn main() {
       let mut client = Client::new("your_api_key", "your_model");
   
       // Use the various functions provided by the client
       // For example:
       match client.generate_content("Hello").await {
           Ok(response) => {
               println!("{}", response);
           }
           Err(err) => {
               eprintln!("Error: {:?}", err);
           }
       }
   }

📌 Examples

This repository contains a list of notebooks examples on how to use the sdk and or the cli. To use the notebooks in this repository, you need to set up your environment. Follow these steps to get started:

1. Clone the repository to your local machine:

   git clone https://github.com/wiseaidev/gems.git

2. Install the required dependencies and libraries. Make sure you have Rust, Jupyter Notebook, and evcxr_jupyter installed on your system.

   # Install a Rust toolchain (e.g. nightly):
   curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y --default-toolchain nightly
   
   # Install Jupyter Notebook
   pip install notebook
   
   # Install evcxr_jupyter
   cargo install evcxr_jupyter
   evcxr_jupyter --install 

3. Navigate to the cloned repository and build the project:

   cd gems
   cargo build --release --all-features

4. Start Jupyter Notebook:

   jupyter notebook

5. Access the notebooks in your web browser by clicking on the notebook file you want to explore.

ID	Example	Open on GitHub	Launch on Binder	Launch on Colab
1	Basic
2	Rocket
3	Axum

🤝 Contributing

Contributions and feedback are welcome! If you'd like to contribute, report an issue, or suggest an enhancement, please engage with the project on GitHub. Your contributions help improve this crate for the community.

📄 License

This project is licensed under the MIT License.