thesanjeetc

#You can import any modules required here 
moduleName = "life" 
commandWords = ["meaning","life"]
 
def execute(command): 
     print("The meaning of life is 42")

thesanjeetc

{"lastUpload":"2021-06-28T13:51:18.119Z","extensionVersion":"v3.4.3"}

thesanjeetc

// When an ad is detected, this script mutes the Spotify music player and plays custom audio files instead

// Paste in console of web app / PWA

// Add your own audio file URLs below to replace the ads
// Or empty to play nothing

//-------------------------------------------------------//

let tunes = [

thesanjeetc

import re

with open('transcriptsOriginal.txt', 'r', encoding="utf8") as file:
    data = file.read()

pattern = '\(.*\)\n|\[.*]|\(.*\)|PART.*]|…|Jamie:.*(.|\?)|[\?]|--|\.\.\.\s|Jaime(\n|.)*?\].'

result = re.sub(pattern, ' ', data)
result = result.replace('Elon Musk:  ', 'ELON MUSK:\n')
result = result.replace('Joe Rogan:  ', 'JOE ROGAN:\n')

thesanjeetc

# %tensorflow_version 1.x
# !pip install -q gpt-2-simple

import gpt_2_simple as gpt2
from datetime import datetime
from google.colab import files

thesanjeetc

gpt2.download_gpt2(model_name="355M")

file_name = "transcripts.txt"
gpt2.copy_file_from_gdrive(file_name)

sess = gpt2.start_tf_sess()

thesanjeetc

gpt2.finetune(sess,
              dataset=file_name,
              model_name='355M',
              steps=1000,
              restore_from='fresh',
              run_name='run1',
              print_every=10,
              sample_every=200,
              save_every=500
              )

thesanjeetc

gpt2.copy_checkpoint_from_gdrive(run_name='run1')

sess = gpt2.start_tf_sess()
gpt2.load_gpt2(sess, run_name='run1')

gpt2.generate(sess,
              length=800,
              temperature=0.7,
              prefix="JOE ROGAN:",
              nsamples=5,

thesanjeetc

gen_file = 'gpt2_gentext_{:%Y%m%d_%H%M%S}.txt'.format(datetime.utcnow())

gpt2.generate_to_file(sess,
                      destination_path=gen_file,
                      length=500,
                      temperature=0.7,
                      nsamples=100,
                      batch_size=20
                      )

thesanjeetc

from google.cloud import texttospeech
import json


def tts(voice, dialog):
    client = texttospeech.TextToSpeechClient()
    input_text = texttospeech.SynthesisInput(text=dialog)

    voice_config = texttospeech.VoiceSelectionParams(
        language_code="en-US",