A CLI to interact with Google Gemini AI models
Project description
ASK CONNECT CLI
ASK CONNECT CLI is a command-line application that allows users to interact with Google's Gemini AI models. It enables users to select AI models, ask questions, and receive AI-generated responses. The application also supports environment variable configuration and automatically sets default values upon installation.
Features
- Select from available Gemini AI models
- Ask AI-powered questions and get real-time responses
- Rich CLI interface using
typer,rich, andInquirerPy - Automatic environment variable setup
- Supports
.envfile for persistent settings
Installation
Prerequisites
Ensure you have Python 3.10+ installed. You can check your version by running:
python --version
Install from PyPI
You can install ASK CONNECT CLI using pip:
pip install ask-connect-cli
Manual Installation
Clone the repository and install dependencies:
git clone https://github.com/yourusername/ask-connect-cli.git
cd ask-connect-cli
pip install -r requirements.txt
Usage
1. Set up the API Key
Before using the CLI, set your Gemini API key:
export GEMINI_API_KEY='your_api_key'
For Windows (PowerShell):
$env:GEMINI_API_KEY="your_api_key"
Alternatively, you can add it to a .env file in the project directory:
echo "GEMINI_API_KEY=your_api_key" > .env
2. Select an AI Model
Run the following command to list available AI models and select one:
ask models
This will allow you to choose a model interactively and save it in the .env file.
3. Ask a Question
Once a model is selected, ask a question using:
ask q "What is the capital of France?"
Environment Variables
The CLI automatically sets up default environment variables upon installation. These can be found in the .env file:
GRPC_VERBOSITY=ERROR
GRPC_ENABLE_FORK_SUPPORT=0
CURRENT_MODEL=gemini-1.5-flash
If needed, you can manually edit these values in .env.
Development
If you want to contribute or modify the project, follow these steps:
git clone https://github.com/AutoDictate/ask-connect-cli.git
cd ask-connect-cli
python -m venv .venv
source .venv/bin/activate # For Windows: .venv\Scripts\activate
pip install -r requirements.txt
Publishing to PyPI
To publish a new version to PyPI:
python -m build
python -m twine upload dist/*
License
This project is licensed under the MIT License.
Contact
For support or issues, open an issue on GitHub or contact techie4coffee@gmail.com.
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