Serenity is a mental health chatbot designed to provide support and resources for mental wellness. Our chatbot uses the LLaMA 3 8B model as its foundation, through prompt engineering to offer empathetic and informative responses. Under the hood, Serenity leverages Nvidia's NIM API calls and LangChain to generate human-like text. Additionally, we incorporate sentiment analysis powered by Jochen Hartmann's "Emotion English DistilRoBERTa-base" model (Hartmann, 2022), available on Hugging Face. This allows us to better understand and respond to users' emotional needs.
My goal with Serenity is to create a safe and non-judgmental space for individuals to discuss their mental health concerns and receive helpful resources and support.
Please note that Serenity is not intended to replace professional mental health advice or therapy.
References Hartmann, J. (2022). Emotion English DistilRoBERTa-base. Hugging Face.
- Python 3.10
- pip 23
- Node.js 16.15
- Angular 14.1
- npm 8.11
- torch 2.3.1
- Clone the Serenity repository to your local machine using Git:
git clone https://github.com/wisng/SerenityStart the Backend
- Navigate to the backend folder:
cd backend- Install the required packages using pip:
pip install -r requirements.txt- Create a token.env file with your Nvidia NIM token:
NVIDIA_TOKEN={YOUR_API_KEY}
- Run the backend server:
python main.pyStart the Frontend
- Navigate to the frontend folder:
cd frontend- Install the required packages using npm:
npm install- Start the development server:
ng serve- Open a web browser and navigate to:
http://localhost:4200
That's it! You should now have Serenity up and running on your local machine.
If you have any questions or need help, please email wisdomkangngo@gmail.com.