6As

A cutting-edge traffic management system based on large-language model. Integration of LLMS with existing data sources to enhance traffic flows, slash congestion, and boost green mobility.

Before use

make install

in terminal to download the dependencies. If it fails try install manually all required dependencies in requirements.txt through pip install ...

Remember to paste OPENAI_API_KEY = (replace with your own api key from openai) into .env.dev before run.

Run server

python3 main.py

(or python main.py)to run the server.

You can test whether the setup is correct with: curl -X GET http://127.0.0.1/echo -H "Content-Type: application/json" -d '{"user_input":"YourInputHere"}' and curl http://127.0.0.1/ping

(Optional) If your development introduce new dependencies, remember to update the requirements.txt file.

(Optional) If your development requires open_ai endpoint, copy and rename the .env.dev to .env and add real API key. DO NOT hardcode and commit your api_key (and other secrets?) anytime.