FastHTML and Heroku

FastHTML: A Swift Path to Web App Development with Python

Developing new applications often requires mastering numerous tools and frameworks. For Python developers, venturing into HTML, CSS, and JavaScript can be a significant hurdle. Conversely, web developers may find Python backend tools less current or less compatible with their existing JavaScript workflows. FastHTML offers a solution, bridging the gap between these two development communities.

FastHTML empowers Python developers to create web applications without needing JavaScript, streamlining the development process. For web developers, it provides a rapid and straightforward method for building Python applications, with the flexibility to extend functionality using JavaScript if needed.

This article demonstrates the speed and ease of building and deploying a FastHTML application using the image generation tutorial and Heroku.

Introducing FastHTML

FastHTML is a modern web framework designed for building fast and scalable web applications with minimal code. Key features include:

• Power and expressiveness: Capable of creating sophisticated, interactive web applications.
• Speed and lightweight design: Reduces code volume and enhances development efficiency.
• Ease of use: A simple, intuitive syntax simplifies the creation of complex applications.

FastHTML addresses the issue of bloated web applications by focusing on simplicity, beauty, and user-friendliness. Inspired by FastAPI's design philosophy, it aims to simplify frontend development in the same way FastAPI simplifies API creation.

Simplicity and Ease of Use: Core Principles

FastHTML prioritizes simplicity and ease of use without sacrificing future scalability. It leverages core technologies like ASGI and HTMX to achieve this, providing a quick start while allowing for growth and expansion.

Rapid Application Development

The FastHTML tutorials offer various application examples. This article focuses on the Image Generation App tutorial, demonstrating the creation of a text-to-image application using the Pollinations model. The entire application was built in under 60 lines of Python code.

Here's a demonstration of the application:

This simple app showcases FastHTML's capabilities, including form submission, external API interaction, and loading indicators. The entire application is contained within a single Python file:

from fastcore.parallel import threaded
from fasthtml.common import *
import os, uvicorn, requests, replicate
from PIL import Image

app = FastHTML(hdrs=(picolink,))

# Store our generations
generations = []
folder = f"gens/"
os.makedirs(folder, exist_ok=True)

# Main page
@app.get("/")
def home():
    inp = Input(id="new-prompt", name="prompt", placeholder="Enter a prompt")
    add = Form(Group(inp, Button("Generate")), hx_post="/", target_id='gen-list', hx_swap="afterbegin")
    gen_list = Div(id='gen-list')
    return 

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