FloatChat-AI is a Python-based project focused on providing intelligent chat experiences powered by AI. This repository is organized for experimentation, development, and deployment of conversational AI features.
- AI-driven chat logic and conversation management.
- 100% Python codebase for easy modification and extension.
- Modular structure for adding new models or chat features.
- Python 3.7 or newer
- Git (for cloning the repository)
- Recommended: Virtual environment (
venvorconda)
-
Clone the repository:
git clone https://github.com/beingbrijesh/FloatChat-AI.git cd FloatChat-AI -
Install dependencies: If there is a
requirements.txtfile:pip install -r requirements.txt
If there is no requirements file, manually install needed libraries as referenced in the code.
Check for the main entrypoint, which is typically named main.py or similar. Run it using Python:
python main.pyIf the project uses a different entry script, check the repository files for the correct filename and replace main.py with the appropriate name.
To avoid dependency conflicts:
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
pip install -r requirements.txtThen run:
python main.pyFloatChat-AI/
├── main.py # Likely entrypoint
├── chat/ # Chat logic modules
├── models/ # ML models
├── utils/ # Utility functions
├── requirements.txt # Python dependencies (if present)
└── README.md # This file
- Fork this repository
- Create a feature branch (
git checkout -b feature/YourFeature) - Commit your changes (
git commit -am 'Add new feature') - Push to your branch (
git push origin feature/YourFeature) - Open a Pull Request
See LICENSE file for details (if present).
- beingbrijesh (repository owner)
- xYaminokiritox (contributor)
- 1shivamgit (collaborator)
- aprawjita (collaborator)
- AryanGusain-dev (collaborator)
For issues or suggestions, please open an Issue in this repository.