Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/kliiyu/friday
FRIDAY - an open-source AI assistant, Friday is my tool for learning about different technologies, there is always something more I can add or do better.
https://github.com/kliiyu/friday
ai docker docker-compose free gpt learning learning-by-building local mistral ollama open-source
Last synced: 12 days ago
JSON representation
FRIDAY - an open-source AI assistant, Friday is my tool for learning about different technologies, there is always something more I can add or do better.
- Host: GitHub
- URL: https://github.com/kliiyu/friday
- Owner: Kliiyu
- License: mit
- Created: 2024-10-29T08:47:25.000Z (16 days ago)
- Default Branch: main
- Last Pushed: 2024-11-01T20:16:30.000Z (13 days ago)
- Last Synced: 2024-11-01T21:16:52.556Z (13 days ago)
- Topics: ai, docker, docker-compose, free, gpt, learning, learning-by-building, local, mistral, ollama, open-source
- Language: Python
- Homepage:
- Size: 237 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
# FRIDAY
# Getting startedWelcome to the FRIDAY project! For more details and a step by step install guide, visit our [documentation](https://kliiyu.github.io/FRIDAY/).
## Introduction to FRIDAY
FRIDAY is an ambitious project: a personal AI assistant inspired by the intelligent systems in the Iron Man series. Designed to run functions, engage in casual conversation, and remember key information, FRIDAY is built to bring a highly interactive AI experience to life.
FRIDAY isn't just another assistant; it's my own experiment with technology, combining tools and APIs in innovative ways to push the boundaries of what a personal AI can achieve. This side project lets me explore, test, and integrate technologies that bring FRIDAY closer to the capabilities of Iron Man's JARVIS and FRIDAY assistants.
## Quick Start
### Installation Steps
> **Important Note:** The following installation steps are outdated and may not work with the latest version of FRIDAY. Please refer to the [official documentation](https://kliiyu.github.io/FRIDAY/) for the most up-to-date instructions.
1. Ensure you have [Ollama](https://ollama.com) and [Python](https://www.python.org) installed on your system.
2. Clone the repository:
```sh
git clone https://github.com/kliiyu/FRIDAY.git
```
3. Navigate to the project directory:
```sh
cd FRIDAY
```
4. Set up a Python virtual environment:
```sh
python -m venv .venv
```
5. Activate the virtual environment:
- On Windows:
```sh
.\venv\Scripts\activate
```
- On macOS/Linux:
```sh
source venv/bin/activate
```
6. Install the required dependencies:
```sh
pip install -r ./requirements.txt
```
7. Make and fill in a .env file in ./config (use .env.example as reference)
8. Run FRIDAY
```sh
python main.py
```> Check out the official [documentation](https://kliiyu.github.io/FRIDAY/) for useful information and a more detailed installation guide.
## License
Please see [LICENSE](LICENSE) for details on how the code in this
repo is licensed.