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Running Flask on an Internal Network Interface

This guide explains how to configure a Flask application to run on a specific network interface on a macOS server with multiple NICs.

Prerequisites

macOS server with multiple network interfaces
Python installed
Flask installed (pip install flask)

How to get "Workshops" Rails application up and running on your local machine for development.

Goal: Set up a local development environment for the Workshops application using Docker.

1. Prerequisites:

Git: To clone the repository.
Docker: To build and run containerized applications. (Install Docker)
Docker Compose: To manage multi-container Docker applications. It's usually included with Docker Desktop.

Setting Up the Zoom Meeting SDK Linux Bot - Simple Guide for Beginners

Hey there! Let me walk you through setting up this Zoom bot on Linux in simple steps. This is perfect for someone who's just getting started with Linux.

What You'll Need

A computer running Linux
Docker installed
A Zoom account
Basic knowledge of the command line

Installing Docker on Ubuntu can be done in a few ways, but the most common and recommended method is through Docker's official apt repository. Here's a breakdown of the process, combining key information from the search results:

Installation Using the Apt Repository:

This method ensures you get the latest stable version and simplifies future updates. Here's a step-by-step guide:

1. Update the package index and install necessary packages:
- sudo apt-get update
- sudo apt-get install ca-certificates curl gnupg
2. Add Docker's official GPG key:

I need to refactor my application to better separate concerns between functionality and API endpoints. The project is a Flask-based API that processes and analyzes data.

Currently, I have these related components that need to be decoupled:

Data processing logic
API endpoint handling
Background task management

I'd like help with:

Separating core processing functionality from API endpoint handling
Creating cleaner interfaces between components

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>Gemini API Image Mask Visualization</title>
	<script type="module">
	import { GoogleGenerativeAI } from "https://esm.run/@google/generative-ai";
	import { marked } from "https://esm.run/marked";

	# Copyright 2024 Big Vision Authors.
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	# Unless required by applicable law or agreed to in writing, software
	# distributed under the License is distributed on an "AS IS" BASIS,

	#!/usr/bin/env python3

	import sys
	import os

	# --- Configuration ---
	# Define prefixes of directory paths to exclude.
	# Any file whose path starts with one of these prefixes will be removed.
	# Add or remove prefixes as needed.
	EXCLUDE_PREFIXES = (

	import os
	import subprocess
	import sys
	from pathlib import Path

	def process_video(input_file, output_file):
	"""Process a video file to remove seconds 4-15."""
	cmd = [
	'ffmpeg',
	'-i', input_file,

	from flask import Flask, render_template
	import altair as alt
	import pandas as pd

	app = Flask(__name__)

	@app.route('/')
	def index():
	return render_template('index.html')