/img-processor

Simple Image Processor With Celery, Redis, and FastAPI

Primary LanguagePython

Simple Image Processor With Celery, Redis, and FastAPI

This project is a simple image processing application built with Celery, Redis, and FastAPI. It allows users to upload images, apply various transformations asynchronously using Celery workers, and retrieve the processed images.

Setup Instructions

  1. Activate Virtual Environment

    Activate your virtual environment to isolate dependencies:

    source venv/bin/activate  # For Unix/Linux
.\venv\Scripts\activate   # For Windows

  2. Install Requirements

    pip install -r requirements.txt

  3. Configure Redis

    • Rename .env.env file to .env and replace it with your Redis URL/paths or remote Redis configuration.
    • For instructions on how to install Redis on your local computer, refer to Redis Documentation
    • You can also use Redis with Docker. Check out Redis Docker Hub for more details.

  4. Run FastAPI Server

    uvicorn main:app

  5. Run Celery Worker

    celery -A tasks worker --loglevel=info
    • Add the "-P solo" flag if you're running the Windows version of Redis.

Documentation is at http://127.0.0.1:8000/docs