top of page

FastAPI Boilerplate: A Quick Start Guide for Building Web Apps

Updated: Feb 6

Creating a boilerplate code for a FastAPI app involves setting up the basic structure and dependencies needed to start building your application.




Here are step-by-step instructions to create a simple FastAPI boilerplate code:

Install FastAPI and Uvicorn:

Open your terminal or command prompt and run the following commands to install FastAPI and Uvicorn:


pip install fastapi
pip install uvicorn

Create a Main FastAPI App File:

Create a new Python file (e.g., main.py) for your FastAPI application. This file will contain the main FastAPI application code.


# main.py

from fastapi import FastAPI

app = FastAPI()

@app.get("/")
def read_root():
    return {"message": "Hello, FastAPI!"}

Create a Requirements File:

Create a requirements.txt file to list the dependencies of your FastAPI app. This is useful for others to replicate your environment.


fastapi==0.70.0
uvicorn==0.15.0

You can generate this file by running:


pip freeze > requirements.txt

Create a Dockerfile (Optional):

If you want to containerize your FastAPI app using Docker, create a Dockerfile in the same directory as your main FastAPI app file. Here's a simple example:



# Dockerfile

FROM tiangolo/uvicorn-gunicorn-fastapi:python3.9

COPY ./app /app

This assumes that your FastAPI app is in a directory named app.

Run Your FastAPI App:

Open the terminal and run your FastAPI app using Uvicorn:



uvicorn main:app --reload

Access your app in the browser at http://127.0.0.1:8000 or explore the interactive documentation at http://127.0.0.1:8000/docs

This simple setup provides a starting point for your FastAPI app. You can then expand it by adding more routes, dependencies, and features as needed for your specific application. Additionally, you can explore more advanced configurations, such as database connections, authentication, and asynchronous programming, based on your project requirements.



 

Project Generation - Template

Full Stack FastAPI PostgreSQL


Full Stack FastAPI Couchbase



Machine Learning models with spaCy and FastAPI


תגובות


bottom of page