$ git clone https://github.com/redis-developer/fastapi-redis-tutorial.git $ cd fastapi-redis-tutorial $ docker-compose build Running the API involves starting the app server and Redis. You'll do those steps next! Running the API The docker-compose.yaml file in this project configures contai...
To do it using docker compose, ensure you have docker and docker compose installed, then: While in the base project directory (FastAPI-boilerplate here), run: docker compose up You should have a web container, postgres container, a worker container and a redis container running. Then head to...
Database technologies: MySQL, MongoDB, Redis, Memcached 11.Opera One of the top Django websitesbelongs to the well-known multi-platform web browser Opera, which, with 153.2 million monthly visits, eloquently testifies to the relevance of using Django for resources with high traffic. Concurrently,...
Database technologies:Redis, Vespa. 5.Medium Designed as a new way to write, publish articles and read online. Medium was founded by Evan Williams, a former co-founder of Blogger (bought by Google in 2003), and then Twitter. Medium not only serves as a platform for anyone with an accoun...
HAProxy is a powerful API gateway due to its ability to provide load balancing, rate limiting, observability and other features to your service endpoints. It also integrates with OAuth 2, giving you control over who can access your APIs. In this blog post, you’ll see how. ...
FastAPI:Fast and intuitive Python web framework. Redis:Asynchronous task queue for managing inference requests. CLIP:Multimodal vision-language model from OpenAI, utilized through theHugging Face Transformerslibrary for seamless integration. CPU or GPU:Supports inference on both GPU for accelerated performan...
Notesecret.envin this directory is a dummy file. You should replace it with your own secrets after creating a Redis instance. (For example withUpstash), such as: OPENAI_API_KEY=sk-xxx main.pywill look like: # main.pyfromlcserveimportservingfromlangchain.promptsimportPromptTemplatefromlangchain...
The error is triggered when I try to execute the following train function using my FastAPI endpoint: # api.py api.post("/train") def train(): hello.delay() # tasks.py celery_app = Celery('tasks', broker='redis://localhost:6379/0') ...
Locally, FastAPI runs on 127.0.0.1:8000, while in production, it operates as serverless functions on Vercel. Setting Up the Application Install dependencies: npm install Create a .env file with your OpenAI API key: OPENAI_API_KEY=[your-openai-api-key] Start the development server: npm...
This template comes with Celery and Redis Docker containers pre-configured for you. For any long running processes, it's recommended that you handle these using a task queue like Celery to avoid making the client wait for a request to finish. Some examples of this might be sending emails, ...