jeffehobbs

[
    "Abbeville",
    "Aberdeen",
    "Ackerman",
    "Algoma",
    "Alligator",
    "Amory",
    "Anguilla",
    "Arcola",
    "Artesia",

jeffehobbs

[
    "Abbott",
    "Abernathy",
    "Abilene",
    "Ackerly",
    "Addison",
    "Adrian",
    "Agua Dulce",
    "Alamo",
    "Alamo Heights",

jeffehobbs

# dallewood | jeffehobbs@gmail.com

import typer, configparser, os, shutil, requests, hashlib, openai
from tqdm import tqdm

app = typer.Typer()
OUTPUT_DIR = '/output'
OUTPUT_PROMPT_PREFIX = ''

# generate image from post text

jeffehobbs

# ariseCthulhuBot.py | jeffehobbs@gmail.com
# taking the Great Tweets and sending them through the 
# Lovecraftian-chaotic wheat thresher of the "bark" TTS library
# in order to summon The Old Ones
#
# to-do:
# 
# 1. [X] get a CLASSIC tweet
# 2. [X] make a music intro
# 3. [X] make a text tweet

jeffehobbs

Equipment for BirdNet
—

SUMMARY: You’ll need a decent Raspberry Pi, a case, a microSD card, a decent USB mic, a longish USB cable 
and a decent power supply. It’ll run you about $150.

COMPUTER: RASPBERRY PI 4, 4GB ($55)
I’m using this, it works great. $55.
https://www.adafruit.com/product/4296

jeffehobbs

# radiodreambot | jeffehobbs@gmail.com
# record radio, transcribe it, make art

import requests, os, shutil, configparser, datetime, time, multiprocessing, openai, tweepy
from mastodon import Mastodon
from faster_whisper import WhisperModel

STREAM_URL = 'https://live.wostreaming.net/direct/saga-wrsifmaac-ibc2'
LOCAL_STREAM_OUTPUT_DIRECTORY = '/tmp/'
RUN_TIME = 60

jeffehobbs

# generates a REST lambda for WeatherKit data & OpenAI summarization

import requests, json, os, boto3, configparser
from flask import Flask, Response, request, json, jsonify
import openai

app = Flask(__name__)

# set up API keys from external config secrets.txt configparser file
SCRIPT_PATH = os.path.dirname(os.path.abspath(__file__))

jeffehobbs

# curbalert
# jeffehobbs@gmail.com // last revision July 2023

import asyncio
import tweepy, requests, configparser, json, os, shutil, hashlib, time
from termcolor import colored, cprint
from pyppeteer import launch
from mastodon import Mastodon

# globals

jeffehobbs

# policelog.py // jeffehobbs@gmail.com
#
# todo:
#
# 1. get latest police log from RSS feed
# 2. scrape html and get individual log entries
# 3. if unique: pull text from entry, redact people's names, create illustration
# 4. tweet text and illustration
# 5. mastodon too! thank you botsin.space

jeffehobbs

# Configuration for WeatherKit in Home Assistant: customize lat/long/token
rest:
- resource: https://weatherkit.apple.com/api/v1/weather/en/YOUR_LATITUDE/YOUR_LONGITUDE
    headers: 
      Authorization: 'Bearer YOUR_TOKEN_HERE'
    params: 
      countryCode: 'US'
      dataSets: 'currentWeather,forecastDaily,forecastNextHour,forecastHourly,weatherAlerts'
      timezone: 'GMT-5'
    scan_interval: 60