doxy-ai

# Requirements: pip install twitchapi

# A seperate credentials/twitch.py file needs to be created with the following contents without the leading hashtags (#):
#clientID = "<your twitch client id here>"
#clientSecret = "<your twitch client scret here>"

# Twitch provides a guide on how to create these here: https://dev.twitch.tv/docs/authentication/register-app/
# Note when creating a new application you need to make sure the OAuth Redirect URLs are set to: http://localhost:17563
# You will also need to change the `targetChanel = "<your channel>"` below, the rest of this file can be safely ignored!

doxy-ai

from api import PluginBase, Message, Color
from itertools import chain
import requests, asyncio

class Plugin(PluginBase):
	"""A plugin that adds Better Twitch.tv emotes to messages."""

	name = "Better Twitch.tv Emotes Plugin"
	platform = "twitch"
	# platformID = "818635195" # Can be found from: https://www.streamweasels.com/tools/convert-twitch-username-to-user-id/

doxy-ai

# Requirements: pip install twitchapi

# A seperate credentials/twitch.py file needs to be created with the following contents without the leading hashtags (#):
#clientID = "<your twitch client id here>"
#clientSecret = "<your twitch client scret here>"

# Twitch provides a guide on how to create these here: https://dev.twitch.tv/docs/authentication/register-app/
# Note when creating a new application you need to make sure the OAuth Redirect URLs are set to: http://localhost:17563
# You will also need to change the `targetChanel = "<your channel>"` below, the rest of this file can be safely ignored!

doxy-ai

# Requirements: pip install websocket-client cbor2

# Import required packages
from api import PluginBase, Message, Color
from flask import escape
import threading
import asyncio
import json
import websocket
import base64

doxy-ai

# Requirements: pip install git+https://github.com/KaitoCross/pytchat.git@developing

# Importing required packages
from api import PluginBase, Message, Color
from flask import escape
from pytchat import LiveChatAsync, ChatDataFinished
import asyncio


class Plugin(PluginBase):

doxy-ai

/*
	This is free and unencumbered software released into the public domain.

	Anyone is free to copy, modify, publish, use, compile, sell, or distribute
	this software, either in source code form or as a compiled binary, for any
	purpose, commercial or non-commercial, and by any means.

	In jurisdictions that recognize copyright laws, the author or authors of
	this software dedicate any and all copyright interest in the software to
	the public domain. We make this dedication for the benefit of the public

doxy-ai

/*
	This is free and unencumbered software released into the public domain.

	Anyone is free to copy, modify, publish, use, compile, sell, or distribute
	this software, either in source code form or as a compiled binary, for any
	purpose, commercial or non-commercial, and by any means.

	In jurisdictions that recognize copyright laws, the author or authors of
	this software dedicate any and all copyright interest in the software to
	the public domain. We make this dedication for the benefit of the public

doxy-ai

# NOTE: You must update your twitch URL by editing this file!

# Import required packages
from api import PluginBase, Message, Color
from flask import escape
import threading
import itertools
import asyncio
import irc.client_aio
import irc.client

doxy-ai

# Requirements: pip install tls_client

# Import required packages
from api import PluginBase, Message, Color
from flask import escape
import asyncio
import websockets
import json
import sys
import tls_client

doxy-ai

#include <webgpu/webgpu.hpp>
#include <utility>
#include <string_view>
#include <span>
#include <cmath>

#include <iostream>

namespace helpers {
	constexpr static size_t invalid = std::numeric_limits<size_t>::max();