genAI-cli

genAI-CLI is an experimental Python-based Command Line Interface (CLI) tool designed to access Generative AI features from AI platforms like Hugging Face.

MyCLI Tool

MyCLI is a Python-based Command Line Interface (CLI) tool designed to [briefly describe the main purpose or functionality of your CLI].

Table of Contents

• Installation
• Usage
• Configuration
• Deployment
• Contributing
• Testing
• License
• Contact

Installation

To use genAI-CLI, follow these steps:

1. Clone the Repository: git clone https://github.com/diegopenuela/genAI-cli cd genAI-cli

2. Build the Docker Image: docker build -t genai-cli-image .

3. Run the CLI: docker run -it genai-cli-image /bin/bash

Usage

MyCLI provides the following commands:

• dummy arg1 arg2: Dummy commands that receives a string argument and a integer argument

Example: python app.py dummy falcon 9

Configuration

You can configure genAI-CLI by setting environment variables:

• DEPLOYMENT_ENV: Set to "development" for local development or "production" for production.
• API_KEY: Your API key for authentication.
• API_SECRET: Your API secret for authentication.

Make sure to create a .env file and populate it with the necessary values for your environment.

Deployment

genAI-CLI can be deployed locally using Docker. For production deployment, will involve creating executable packages that users can install and run on their local machines.

Contributing

We welcome contributions to MyCLI! To contribute:

1. Fork the repository.
2. Create a new branch: git checkout -b feature/my-feature.
3. Make your changes and commit them: git commit -m "Add new feature".
4. Push to the branch: git push origin feature/my-feature.
5. Submit a pull request.

Testing

To run tests for genAI-CLI, use the following command:

python -m unittest discover tests

License

This project is licensed under the MIT License.

Contact

If you have any questions or feedback, feel free to reach out to us at [email protected].