Team-Mate

Team-Mate is an independent company dedicated to helping students and trainees manage their time and focus more effectively. This project demonstrates a personalized LLM-enhanced agent designed to optimize schedules, facilitate collaboration, and provide tailored support for enhanced learning experiences.

Repository Structure

.
├── README.md
├── __pycache__
│   └── main.cpython-310.pyc
├── main.py
└── weaviate
    ├── __init__.py
    ├── __pycache__
    │   ├── __init__.cpython-310.pyc
    │   ├── http_client.cpython-310.pyc
    │   ├── schema_manager.cpython-310.pyc
    │   ├── weaviate_client.cpython-310.pyc
    │   └── weaviate_interface.cpython-310.pyc
    ├── docker-compose.yml
    ├── http_client.py
    ├── schema.json
    ├── schema_manager.py
    ├── weaviate_client.py
    └── weaviate_interface.py

Getting Started

Weaviate Setup

Fork the repository.

Clone the repository:

git clone https://github.com/your-username/team-mate.git

Navigate to the weaviate subfolder:
```
cd team-mate/weaviate
```
Run the Weaviate Docker container:
```
docker-compose up
```

Project Setup

Fork the repository.

Clone the repository:

git clone https://github.com/your-username/team-mate.git

Navigate to the project directory:
```
cd team-mate
```

Set up a virtual environment:

python3 -m venv .venv
source .venv/bin/activate

Install the required packages:

pip install fastapi uvicorn python-socketio

Create a .env file in the project root directory with the following variables:
```
OPENAI_API_KEY=your_openai_api_key
WEAVIATE_URL=http://localhost:8080
```
Run the project:
```
python main.py
```

Important Notes

Starter Project: This project provides a basic structure and examples to help you get started. The schema and helper classes in the weaviate folder are just examples. You are encouraged to modify and extend them according to your needs.
Flexibility: You are not restricted to the current architecture or the packages used. Feel free to make any modifications to suit your approach to solving the challenge.

Schema Overview

The provided schema includes classes for documents and chatbot responses, with properties to store relevant information. The helper classes demonstrate how to interact with the Weaviate instance.

Contributions

We welcome contributions and suggestions! Feel free to fork the repository, make improvements, and submit a pull request.

License

This project is licensed under the MIT License.

gtechzilla/team-mate