Despite high mobile phone ownership among the elderly, many struggle to utilise various mobile applications due to their complex and varied nature. We hope to tackle this issue through ElderGPT, a one-stop elderly-friendly gateway to interact with various mobile applications
- Ability to converse with the model using speech. Supports different languages (using Streamlit)
- Ability to read out model output using different agents and varying speaking rates (using ElevenLabs API)
- Langchain agent is equipped with custom tools for Google Calendar, Google Translate, Google Maps, News, Door Dash, email
- Clone the repository
git clone https://github.com/Ranchu2000/ElderGPT.git
-
Set up .env file (refer to env_template.txt)
-
Enter the directory
cd ElderGPT
- Install the dependencies
pip install requirements.txt
- Run the app
streamlit run ./frontEnd.py