Pere Joan Martorell pjmartorell

## fast_speech_text_speech.py
""" To use: install LLM studio (or Ollama), clone OpenVoice, run this script in the OpenVoice directory
    git clone https://github.com/myshell-ai/OpenVoice
    cd OpenVoice
    git clone https://huggingface.co/myshell-ai/OpenVoice
    cp -r OpenVoice/* .
    pip install whisper pynput pyaudio
"""

from openai import OpenAI
import time

## ChatGPT-Dan-Jailbreak.md

      
              1 file
            
          
              587 forks
            
          
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              3717 stars
            
          
                coolaj86
                / ChatGPT-Dan-Jailbreak.md
            
            
              Last active
              April 25, 2024 08:25
            
          
    Chat GPT "DAN" (and other "Jailbreaks")


https://chat.openai.com/
Is ChatGPT "DAN" Real? Gonna find out [Part 1] 

(https://www.youtube.com/watch?v=-q8woRG9FrI)
Part 2: I thought ChatGPT DAN was a hoax, but... 

(https://www.youtube.com/watch?v=rHZRrDu3A2U&lc=UgxfrxX8aK7gnCzkend4AaABAg)


## no-your-cryptocurrency-cannot-work.md

      
              1 file
            
          
              4 forks
            
          
              122 comments
            
          
              133 stars
            
          
                joepie91
                / no-your-cryptocurrency-cannot-work.md
            
            
              Last active
              April 13, 2024 03:21
            
              
                No, your cryptocurrency cannot work
              
          
    No, your cryptocurrency cannot work

Whenever the topic of Bitcoin's energy usage comes up, there's always a flood of hastily-constructed comments by people claiming that their favourite cryptocurrency isn't like Bitcoin, that their favourite cryptocurrency is energy-efficient and scalable and whatnot.
They're wrong, and are quite possibly trying to scam you. Let's look at why.
What is a cryptocurrency anyway?

There are plenty of intricate and complex articles trying to convince you that cryptocurrencies are the future. They usually heavily use jargon and vague terms, make vague promises, and generally give you a sense that there must be something there, but you always come away from them more confused than you were before.

  
## .env
# https://github.com/ddollar/forego

ASSET_HOST=localhost:3000
APPLICATION_HOST=localhost:3000
BCRYPT_COST=12
PORT=3000
RACK_ENV=development
RACK_MINI_PROFILER=0
SECRET_KEY_BASE=development_secret
EXECJS_RUNTIME=Node

## flappy.html
<body onload=z=c.getContext`2d`,setInterval(`c.width=W=150,Y<W&&P<Y&Y<P+E|9<p?z.fillText(S++${Y=`,9,9|z.fillRect(p`}*0,Y-=--M${Y+Y},P+E,9,W),P))):p=M=Y=S=6,p=p-6||(P=S%E,W)`,E=49) onclick=M=9><canvas id=c>

## ruby.yml
name: Ruby

on:
  push:
    branches: [ master ]
  pull_request:
    branches: [ master ]

jobs:
  build:

## README.md

      
              1 file
            
          
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                borekb
                / README.md
            
            
              Last active
              April 2, 2024 19:56
            
              
                How to link to headings in GitHub issues and pull requests
              
          
    How to link to headings in GitHub issues and pull requests

If you have an issue comment / PR description on GitHub, it doesn't automatically get anchors / IDs that you could link to:

What I like to do is to add a visible # character like this:


## simple_graphql_wrapper.rb
require 'faraday'
require 'json'

class GraphQLClient
  class << self
    attr_accessor :base_site, :base_headers

    def base_headers
      @base_headers ||= {
          'Content-Type' => 'application/json',

## README_AA_CC_AASM.md

      
              7 files
            
          
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              3 stars
            
          
                alexey
                / README_AA_CC_AASM.md
            
            
              Last active
              August 7, 2020 08:34
            
              
                ActiveAdmin + CanCan + AASM event switcher with AJAX 
              
          
    About:

Inspired by activeadmin_addons and its Enum Integration
I want to make similar functionality for AASM by letting users change events depending on their abilities and available events/statuses in model.
Sorry i have no time to create an addon right now for this gem but i will try to do it soon.
Feel free to modify, use it and integrate.
Ask me any question if you need!
Prequestites:

Gem: ActiveAdmin,

  
## ftInceptionV3.py
# from the guide https://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html
# and from other resources found, trying to achieve a good classifier based on Inveption V3 pre-trained netfork

from keras.applications.inception_v3 import InceptionV3
from keras.preprocessing import image
from keras.models import Model
from keras.layers import Dense, GlobalAveragePooling2D
from keras.preprocessing.image import ImageDataGenerator
from keras import backend as K
from keras.callbacks import ModelCheckpoint
	""" To use: install LLM studio (or Ollama), clone OpenVoice, run this script in the OpenVoice directory
	git clone https://github.com/myshell-ai/OpenVoice
	cd OpenVoice
	git clone https://huggingface.co/myshell-ai/OpenVoice
	cp -r OpenVoice/* .
	pip install whisper pynput pyaudio
	"""

	from openai import OpenAI
	import time
	# https://github.com/ddollar/forego

	ASSET_HOST=localhost:3000
	APPLICATION_HOST=localhost:3000
	BCRYPT_COST=12
	PORT=3000
	RACK_ENV=development
	RACK_MINI_PROFILER=0
	SECRET_KEY_BASE=development_secret
	EXECJS_RUNTIME=Node
	name: Ruby

	on:
	push:
	branches: [ master ]
	pull_request:
	branches: [ master ]

	jobs:
	build:
	require 'faraday'
	require 'json'

	class GraphQLClient
	class << self
	attr_accessor :base_site, :base_headers

	def base_headers
	@base_headers \|\|= {
	'Content-Type' => 'application/json',
	# from the guide https://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html
	# and from other resources found, trying to achieve a good classifier based on Inveption V3 pre-trained netfork

	from keras.applications.inception_v3 import InceptionV3
	from keras.preprocessing import image
	from keras.models import Model
	from keras.layers import Dense, GlobalAveragePooling2D
	from keras.preprocessing.image import ImageDataGenerator
	from keras import backend as K
	from keras.callbacks import ModelCheckpoint