CMRAgent is an AI agent that interfaces with NASA's Common Metadata Repository(CMR) using natural language commands

Note: This project was developed using python version 3.12.4

1. Create a virtual environment: virtualenv venv
2. Activate the virtual environment: . venv/bin/activate
3. Install required dependencies: pip install -r requirements.txt
4. Run the web based app: cd src && streamlit run app.py
5. Run app in cli: cd src && python main.py

If you have make installed:

1. make install : Creates an virtualenv and installs all dependencies
2. make run : Run's streamlit application
3. make cli : Run the cli interface
4. make clean : Removes virtualenv

Note: Create an .env file from the .env.sample file and update your OPENAI credentials before running the app

• Natural language queries for NASA CMR.
• Search through collections
  • Supported query params: temporal, spatial and keyword based search
• Search through granules using collection id
• Supports multi-conversations: Ask followup on questions or for granules for a particular collection
• CLI and web-based (Streamlit) interface options.
• View debug logs in Streamlit application