yareyaredesuyo

It maybe useful to share the knowledge of fastapi's tips and practice.

Set up fastapi minimum project from scratch

This is a minimum setup procedure for a fastapi project using poetry.

Use poetry for dependency management
- fastapi itself is also using poetry
  - Ref: https://github.com/tiangolo/fastapi/blob/master/pyproject.toml
initialize project using poetry

##Windows users:

cmder will be refered as console

##Mac Os, Ubuntu and windows users continue here:

	import PIL.Image
	import numpy as np
	import tensorflow_hub as hub
	import tensorflow as tf

	# https://github.com/tensorflow/hub/blob/master/examples/colab/tf_hub_generative_image_module.ipynb
	# https://tfhub.dev/google/progan-128/1

	latent_dim = 512
	progan = hub.load("https://tfhub.dev/google/progan-128/1").signatures['default']

	const fetch = require('node-fetch');
	const cheerio = require('cheerio');

	async function main() {
	const args = process.argv.slice(2);
	const arg = args[0];
	const res = await fetch(arg);
	const resText = await res.text();

	const $ = cheerio.load(resText);