Trust and Safety Tool

This project is a modular and efficient trust and safety tool. It consists of a backend API built with FastAPI and a frontend application built with React.

Project Structure

• backend/: The FastAPI backend application.
• frontend/: The React frontend application.

Getting Started

Prerequisites

• Python 3.8+
• Node.js 14+ and npm

Backend Setup

1. Navigate to the backend directory:

   cd backend

2. Create a virtual environment and activate it:

   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

3. Install the dependencies:

   pip install -r requirements.txt

4. Run the backend server:

   uvicorn main:app --reload

   The API will be available at http://localhost:8000.

Frontend Setup

1. Navigate to the frontend directory:

   cd frontend

2. Install the dependencies:

   npm install

3. Run the frontend development server:

   npm start

   The application will open in your browser at http://localhost:3000.

How to Use

1. Start both the backend and frontend servers.
2. The frontend will load and show an empty list of queues.
3. Use an API client (like Postman or curl) to create a queue.
   • POST http://localhost:8000/api/queues
   • Body (raw, JSON):

     {
       "id": "image-review-queue",
       "name": "Image Review Queue",
       "description": "A queue for reviewing images.",
       "entity_type": "image",
       "policies": ["nudity", "violence"],
       "languages": ["en"]
     }

4. Refresh the frontend. The new queue should appear.
5. Use the orchestrator service (manually, for now) to populate the queue.
   • To simulate the orchestrator, you can add a temporary endpoint to main.py to trigger it or run it from a Python shell.
   • Alternatively, use the enqueue endpoint directly.
6. Click on the queue in the UI to start reviewing items.