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Trash Optimizer Streamlit Frontend

This is the Streamlit frontend for the Trash Optimizer application. It provides an interactive interface for users to visualize and optimize trash collection routes.

3rd Party Services

This application relies on the following external services:

  • Geolocation Service: OpenRouteService for mapping and geolocation functionalities. https://openrouteservice.org/
  • Inference Service: A custom backend service for trash bin level prediction. Make sure to have it running and accessible.

Setup

pip install -r requirements.txt

Configuration

  1. Copy the .env.template file to a new file named .env.
  2. Create a service account and obtain the necessary API keys for the geolocation and inference services.
  3. Fill in the required environment variables in the .env file.

Running the application

streamlit run app.py