Sthaan - An Easier way to reach people through Digital First Addresses (peopleplus.ai/sthaan )
To read about the different stories affected by the problem and know more about the solution, please read the Concept Paper.
For more details on joining the initiative, please refer here and for any queries, reach out to [email protected].
Follow these steps to set up and run Sthaan locally:
-
Clone the repository:
git clone https://github.com/PeoplePlusAI/Sthaan.git
-
Install dependencies:
pip install -r requirements.txt
-
Install Ollama (Linux users only):
curl -fsSL https://ollama.com/install.sh | shFor other platforms, download from Ollama's website.
-
Run the project:
- Start the LLM service (this step might take time):
ollama serve llama3
- Run the main application:
python main.py
- Start the LLM service (this step might take time):
💡 The project may take some time to initialize fully. Please wait until the large language model (LLM) is downloaded and running.
We welcome contributions from the community. To contribute to this project, please follow the guidelines outlined in CONTRIBUTING.md.
All the necessary documentation of Sthaan are avaiilable in the docs folder
To access or contribute to the documentation, please refer to docs/README.md.
Provide instructions for reporting issues:
If you encounter any issues with the project, please create a new issue using the issue template. Provide as much detail as possible to help us understand and resolve the issue.
Explain your process for accepting pull requests and follow the template provided in Pull Request Template
If you would like to contribute to the codebase, please refer to the CONTRIBUTING.md file for more information. We appreciate your contributions!
If you have any queries, doubts, or new ideas regarding this project, please create an issue in this repo. Let's have a discussion! For any other queries, please reach out to Sreeram Sridhar.
Learn more about other people+ai initiatives.