Repository: AnubhavChaturvedi-GitHub/Just-A-Rather-Very-Intelligent-System
Branch: main
Commit: 33f1230d5fcc
Files: 55
Total size: 129.5 KB
Directory structure:
gitextract_zdy_radx/
├── Alam_data.txt
├── Alert.py
├── Automation/
│ ├── Automation_Brain.py
│ ├── Battery.py
│ ├── Play_Music_YT.py
│ ├── Web_Data.py
│ ├── Web_Open.py
│ ├── Youtube_play_back.py
│ ├── open_App.py
│ ├── playmusic_Sfy.py
│ ├── scrool_system.py
│ └── tab_automation.py
├── Brain/
│ └── brain.py
├── Data/
│ └── DLG_Data.py
├── Features/
│ ├── br_persentage.py
│ ├── check_running_app.py
│ ├── clap_d.py
│ ├── clap_with_music.py
│ ├── create_file.py
│ ├── find_my_ip.py
│ ├── get_advice.py
│ ├── get_jokes.py
│ ├── mike_health.py
│ ├── set_br.py
│ ├── set_get_volume.py
│ └── speaker_health.py
├── LICENSE
├── NetHyTechSTT/
│ └── listen.py
├── New/
│ └── datafeatch.py
├── PyWhatKit_DB.txt
├── README.md
├── Real_Time/
│ ├── google_big.py
│ └── google_small.py
├── TextToImage/
│ └── gen_image.py
├── TextToSpeech/
│ └── Fast_DF_TTS.py
├── Time_Operations/
│ ├── brain.py
│ └── throw_alert.py
├── Vision/
│ ├── MVbrain.py
│ └── Vbrain.py
├── Weather_Check/
│ └── check_weather.py
├── Whatsapp_automation/
│ └── wa.py
├── chat_hystory.txt
├── co_brain.py
├── conv_history.txt
├── demo.py
├── history.txt
├── input.txt
├── internet_check.py
├── jarvis.py
├── log.txt
├── requirements.txt
├── schedule.txt
├── setup.py
├── speech_output.txt
└── ui.py
================================================
FILE CONTENTS
================================================
================================================
FILE: Alam_data.txt
================================================
12:31AM
================================================
FILE: Alert.py
================================================
import os
from winotify import Notification, audio
from os import getcwd
def Alert(Text):
icon_path = r"C:\Users\chatu\OneDrive\Desktop\Jarvis\logo.png"
toast = Notification(
app_id="🟢 J.A.R.V.I.S.",
title=Text,
duration="long",
icon=icon_path
)
toast.set_audio(audio.Default, loop=False)
toast.add_actions(label="Click me", launch="https://www.google.com")
toast.add_actions(label="Dismiss", launch="https://www.google.com")
toast.show()
================================================
FILE: Automation/Automation_Brain.py
================================================
from Automation.open_App import open_App
from Automation.Web_Open import openweb
import pyautogui as gui
from Automation.Play_Music_YT import play_music_on_youtube
from TextToSpeech import Fast_DF_TTS
from Automation.playmusic_Sfy import play_music_on_spotify
from Automation.Battery import check_percentage
from os import getcwd
import time
from Automation.tab_automation import perform_browser_action
from Automation.Youtube_play_back import perform_media_action
import pywhatkit
from Automation.scrool_system import perform_scroll_action
import threading
from TextToSpeech.Fast_DF_TTS import speak
def play():
gui.press("space")
def search_google(text):
pywhatkit.search(text)
def close():
gui.hotkey('alt','f4')
def search(text):
gui.press("/")
time.sleep(0.3)
gui.write(text)
def Open_Brain(text):
if "website" in text or "open website named" in text:
text = text.replace("open","").strip()
text = text.replace("website","").strip()
text = text.replace("open website named","").strip()
t1 = threading.Thread(target=speak,args=(f"Navigating {text} website",))
t2 = threading.Thread(target=openweb,args=(text,))
t1.start()
t2.start()
t1.join()
t2.join()
else:
text = text.replace("open","").strip()
text = text.replace("app","").strip()
t1 = threading.Thread(target=speak,args=(f"Navigating {text} application",))
t2 = threading.Thread(target=open_App,args=(text,))
t1.start()
t2.start()
t1.join()
t2.join()
def clear_file():
with open(f"{getcwd()}\\input.txt","w") as file:
file.truncate(0)
def Auto_main_brain(text):
try:
if text.startswith("open"):
Open_Brain(text)
elif "close" in text:
close()
elif "play music" in text or "play music on youtube" in text:
Fast_DF_TTS.speak("which song do you want to play sir.")
clear_file()
output_text = ""
while True:
with open("input.txt","r") as file:
input_text = file.read().lower()
if input_text != output_text:
output_text = input_text
if output_text.endswith("song"):
play_music_on_youtube(output_text)
break
else:
pass
elif "play some music" in text or "play music on spotify" in text:
Fast_DF_TTS.speak("Which song do you want to play, sir.")
clear_file()
output_text = ""
while True:
with open("input.txt", "r") as file:
input_text = file.read().lower()
if input_text != output_text:
output_text = input_text
if output_text.endswith("song"):
play_music_on_spotify(output_text)
break
elif "check battery percentage" in text or "check battery level" in text:
check_percentage()
elif text.startswith("search"):
text = text.replace("search","")
text = text.strip()
t1 = threading.Thread(target=speak,args=(f"doing research about {text}",))
t2 = threading.Thread(target=search,args=(text,))
t1.start()
t2.start()
t1.join()
t2.join()
time.sleep(0.5)
gui.press("enter")
elif "search in google" in text:
text = text.replace("search in google","")
t1 = threading.Thread(target=speak,args=(f"performing research about {text} in google search engine",))
t2 = threading.Thread(target=search_google,args=(text,))
t1.start()
t2.start()
t1.join()
t2.join()
elif "play" in text or "stop" in text or "pause" in text:
play()
else:
perform_browser_action(text)
perform_media_action(text)
perform_scroll_action(text)
except Exception as e:
print("error : " + e)
================================================
FILE: Automation/Battery.py
================================================
# pip install psutil
# CTRL + J Terminal
import psutil
import time
import time
from TextToSpeech.Fast_DF_TTS import speak
import threading
from Alert import Alert
battery = psutil.sensors_battery()
def battery_Alert():
while True:
time.sleep(3)
percentage = int(battery.percent)
if percentage == 100:
t1 = threading.Thread(target=Alert,args=("100%charge",))
t2 = threading.Thread(target=speak,args=("100% charged. Please unplug it.",))
t1.start()
t2.start()
t1.join()
t2.join()
elif percentage <= 20:
t1 = threading.Thread(target=Alert,args=("Battery Low",))
t2 = threading.Thread(target=speak,args=("Sir,Sorry to disturb you but battery is Low now",))
t1.start()
t2.start()
t1.join()
t2.join()
elif percentage <=10:
t1 = threading.Thread(target=Alert,args=("Battery is too Low",))
t2 = threading.Thread(target=speak,args=("Sir,Sorry to disturb you but we are running on very low battery power",))
t1.start()
t2.start()
t1.join()
t2.join()
elif percentage <= 5:
t1 = threading.Thread(target=Alert,args=("Battery is going to died",))
t2 = threading.Thread(target=speak,args=("Sir,Sorry to disturb you but this is your last chance sir , charge your system now",))
t1.start()
t2.start()
t1.join()
t2.join()
time.sleep(10)
def check_plug():
print("_____started___")
battery = psutil.sensors_battery()
previous_state = battery.power_plugged
while True:
battery = psutil.sensors_battery()
if battery.power_plugged != previous_state:
if battery.power_plugged:
t1 = threading.Thread(target=Alert,args=("Charging **STARTED**",))
t2 = threading.Thread(target=speak,args=("Charging Started",))
t1.start()
t2.start()
t1.join()
t2.join()
else:
t1 = threading.Thread(target=Alert,args=("Charging **STOP**",))
t2 = threading.Thread(target=speak,args=("Charging Stop",))
t1.start()
t2.start()
t1.join()
t2.join()
previous_state = battery.power_plugged
def check_percentage():
battery = psutil.sensors_battery()
percent = int(battery.percent)
t1 = threading.Thread(target=Alert,args=(f"The device is running on {percent}% power",))
t2 = threading.Thread(target=speak,args=(f"The device is running on {percent}% power",))
t1.start()
t2.start()
t1.join()
t2.join()
================================================
FILE: Automation/Play_Music_YT.py
================================================
import pywhatkit as pw
def play_music_on_youtube(Song_name):
pw.playonyt(Song_name)
================================================
FILE: Automation/Web_Data.py
================================================
websites = {
"youtube": "www.youtube.com",
"facebook": "www.facebook.com",
"github": "www.github.com",
"youtube studio": "studio.youtube.com",
"twitter": "www.twitter.com",
"instagram": "www.instagram.com",
"linkedin": "www.linkedin.com",
"wikipedia": "www.wikipedia.org",
"reddit": "www.reddit.com",
"pinterest": "www.pinterest.com",
"quora": "www.quora.com",
"tumblr": "www.tumblr.com",
"flickr": "www.flickr.com",
"snapchat": "www.snapchat.com",
"tiktok": "www.tiktok.com",
"vimeo": "www.vimeo.com",
"dropbox": "www.dropbox.com",
"onedrive": "www.onedrive.com",
"google drive": "drive.google.com",
"icloud": "www.icloud.com",
"amazon": "www.amazon.com",
"ebay": "www.ebay.com",
"alibaba": "www.alibaba.com",
"netflix": "www.netflix.com",
"hulu": "www.hulu.com",
"disney plus": "www.disneyplus.com",
"hbo max": "www.hbomax.com",
"spotify": "www.spotify.com",
"soundcloud": "www.soundcloud.com",
"apple music": "www.apple.com/apple-music",
"pandora": "www.pandora.com",
"deezer": "www.deezer.com",
"bandcamp": "www.bandcamp.com",
"bbc": "www.bbc.com",
"cnn": "www.cnn.com",
"nytimes": "www.nytimes.com",
"the guardian": "www.theguardian.com",
"forbes": "www.forbes.com",
"bloomberg": "www.bloomberg.com",
"reuters": "www.reuters.com",
"espn": "www.espn.com",
"fox news": "www.foxnews.com",
"nbc news": "www.nbcnews.com",
"cbs news": "www.cbsnews.com",
"abc news": "www.abcnews.go.com",
"msnbc": "www.msnbc.com",
"npr": "www.npr.org",
"wsj": "www.wsj.com",
"yahoo news": "news.yahoo.com",
"buzzfeed": "www.buzzfeed.com",
"huffpost": "www.huffpost.com",
"canva": "www.canva.com",
"chatgpt": "chat.openai.com",
"slack": "www.slack.com",
"trello": "www.trello.com",
"asana": "www.asana.com",
"zoom": "www.zoom.us",
"skype": "www.skype.com",
"microsoft teams": "www.microsoft.com/microsoft-teams",
"google meet": "meet.google.com",
"webex": "www.webex.com",
"jira": "www.atlassian.com/software/jira",
"notion": "www.notion.so",
"airtable": "www.airtable.com",
"monday": "www.monday.com",
"clickup": "www.clickup.com",
"dropbox paper": "www.dropbox.com/paper",
"confluence": "www.atlassian.com/software/confluence",
"figma": "www.figma.com",
"adobe xd": "www.adobe.com/products/xd.html",
"invision": "www.invisionapp.com",
"microsoft word": "www.microsoft.com/microsoft-365/word",
"google docs": "docs.google.com",
"medium": "www.medium.com",
"wordpress": "www.wordpress.com",
"wix": "www.wix.com",
"squarespace": "www.squarespace.com",
"shopify": "www.shopify.com",
"bigcommerce": "www.bigcommerce.com",
"weebly": "www.weebly.com",
"godaddy": "www.godaddy.com",
"namecheap": "www.namecheap.com",
"bluehost": "www.bluehost.com",
"siteground": "www.siteground.com",
"hostgator": "www.hostgator.com",
"dreamhost": "www.dreamhost.com",
"a2 hosting": "www.a2hosting.com",
"inmotion hosting": "www.inmotionhosting.com",
"digitalocean": "www.digitalocean.com",
"linode": "www.linode.com",
"aws": "aws.amazon.com",
"azure": "azure.microsoft.com",
"google cloud": "cloud.google.com",
"heroku": "www.heroku.com",
"gitlab": "www.gitlab.com",
"bitbucket": "bitbucket.org",
"codepen": "codepen.io",
"jsfiddle": "jsfiddle.net",
"repl.it": "repl.it",
"stack overflow": "stackoverflow.com",
"stackoverflow careers": "stackoverflow.com/jobs",
"glassdoor": "www.glassdoor.com",
"indeed": "www.indeed.com",
"linkedin jobs": "www.linkedin.com/jobs",
"monster": "www.monster.com",
"simplyhired": "www.simplyhired.com",
"angel.co": "angel.co",
"github jobs": "jobs.github.com",
"ziprecruiter": "www.ziprecruiter.com",
"careerbuilder": "www.careerbuilder.com",
"snagajob": "www.snagajob.com",
"dice": "www.dice.com",
"jobs": "www.jobs.com",
"bamboohr": "www.bamboohr.com",
"workday": "www.workday.com",
"adp": "www.adp.com",
"sap successfactors": "www.sap.com/products/hcm.html",
"oracle hcm": "www.oracle.com/applications/human-capital-management",
"zenefits": "www.zenefits.com",
"paycor": "www.paycor.com",
"paycom": "www.paycom.com",
"gusto": "www.gusto.com",
"square": "squareup.com",
"stripe": "www.stripe.com",
"paypal": "www.paypal.com",
"venmo": "www.venmo.com",
"cash app": "cash.app",
"robinhood": "www.robinhood.com",
"etrade": "www.etrade.com",
"fidelity": "www.fidelity.com",
"charles schwab": "www.schwab.com",
"vanguard": "investor.vanguard.com",
"td ameritrade": "www.tdameritrade.com",
"coinbase": "www.coinbase.com",
"binance": "www.binance.com",
"kraken": "www.kraken.com",
"blockchain": "www.blockchain.com",
"gemini": "www.gemini.com",
"bitfinex": "www.bitfinex.com",
"bitstamp": "www.bitstamp.net",
"bittrex": "www.bittrex.com",
"okex": "www.okex.com",
"poloniex": "www.poloniex.com",
"coindesk": "www.coindesk.com",
"cointelegraph": "www.cointelegraph.com",
"decrypt": "www.decrypt.co",
"cryptoslate": "www.cryptoslate.com",
"cryptonews": "www.cryptonews.com",
"coinmarketcap": "www.coinmarketcap.com",
"coingecko": "www.coingecko.com",
"messari": "www.messari.io",
"icodrops": "www.icodrops.com",
"tokenmarket": "www.tokenmarket.net",
"coinpaprika": "www.coinpaprika.com",
"cryptocompare": "www.cryptocompare.com",
"coincheckup": "www.coincheckup.com",
"cryptobriefing": "www.cryptobriefing.com",
"blockonomi": "www.blockonomi.com",
"coininsider": "www.coininsider.com",
"newsbtc": "www.newsbtc.com",
"bitcoin.com": "www.bitcoin.com",
"ethereum.org": "www.ethereum.org",
"litecoin.com": "www.litecoin.com",
"ripple.com": "www.ripple.com",
"cardano.org": "www.cardano.org",
"stellarlumens.com": "www.stellarlumens.com",
"tezos.com": "www.tezos.com",
"eos.io": "www.eos.io",
"neo.org": "www.neo.org",
"iota.org": "www.iota.org",
"monero.org": "www.monero.org",
"zcash.org": "www.zcash.org",
"dash.org": "www.dash.org",
"dogecoin.com": "www.dogecoin.com",
"gpt":"www.chatgpt.com/"
}
================================================
FILE: Automation/Web_Open.py
================================================
import webbrowser
from Automation.Web_Data import websites
def openweb(webname):
website_name = webname.lower().split()
counts = {}
for name in website_name:
counts[name] = counts.get(name,0) + 1
urls_to_open = []
for name,count in counts.items():
if name in websites:
urls_to_open.extend([websites[name]]*count)
for url in urls_to_open:
webbrowser.open(url)
if urls_to_open:
print("opening...")
================================================
FILE: Automation/Youtube_play_back.py
================================================
import pyautogui
def volume_up():
pyautogui.press('up')
def volume_down():
pyautogui.press('down')
def seek_forward():
pyautogui.press('right')
def seek_backward():
pyautogui.press('left')
def seek_forward_10s():
pyautogui.press('l')
def seek_backward_10s():
pyautogui.press('j')
def seek_backward_frame():
pyautogui.press(',')
def seek_forward_frame():
pyautogui.press('.')
def seek_to_beginning():
pyautogui.press('home')
def seek_to_end():
pyautogui.press('end')
def seek_to_previous_chapter():
pyautogui.hotkey('ctrl', 'left')
def seek_to_next_chapter():
pyautogui.hotkey('ctrl', 'right')
def decrease_playback_speed():
pyautogui.hotkey('shift', ',')
def increase_playback_speed():
pyautogui.hotkey('shift', '.')
def move_to_next_video():
pyautogui.hotkey('shift', 'n')
def move_to_previous_video():
pyautogui.hotkey('shift', 'p')
def perform_media_action(text):
if "volume up" in text or "volume badhao" in text:
volume_up()
elif "volume down" in text or "volume ghatao" in text:
volume_down()
elif "seek forward" in text or "aage badhao" in text:
seek_forward()
elif "seek backward" in text or "peeche karo" in text:
seek_backward()
elif "seek forward 10 seconds" in text or "10 second aage badhao" in text:
seek_forward_10s()
elif "seek backward 10 seconds" in text or "10 second peeche karo" in text:
seek_backward_10s()
elif "seek backward frame" in text or "frame peeche karo" in text:
seek_backward_frame()
elif "seek forward frame" in text or "frame aage badhao" in text:
seek_forward_frame()
elif "seek to beginning" in text or "shuruat par jao" in text:
seek_to_beginning()
elif "seek to end" in text or "ant par jao" in text:
seek_to_end()
elif "seek to previous chapter" in text or "previous chapter par jao" in text:
seek_to_previous_chapter()
elif "seek to next chapter" in text or "next chapter par jao" in text:
seek_to_next_chapter()
elif "decrease playback speed" in text or "speed kam karo" in text:
decrease_playback_speed()
elif "increase playback speed" in text or "speed badhao" in text:
increase_playback_speed()
elif "move to next video" in text or "next video par jao" in text:
move_to_next_video()
elif "move to previous video" in text or "previous video par jao" in text:
move_to_previous_video()
else:
pass
================================================
FILE: Automation/open_App.py
================================================
import pyautogui as gui
import subprocess
import time
def open_App(text):
try:
subprocess.run(text)
except Exception as e:
gui.press("win")
time.sleep(0.2)
gui.write(text)
time.sleep(0.2)
gui.press("enter")
================================================
FILE: Automation/playmusic_Sfy.py
================================================
import webbrowser
import pyautogui as ui
import time
def play_music_on_spotify(song_name):
webbrowser.open("https://open.spotify.com/")
time.sleep(6)
ui.hotkey("ctrl","shift","l")
time.sleep(1)
ui.write(song_name)
time.sleep(3)
ui.leftClick(805,515)
================================================
FILE: Automation/scrool_system.py
================================================
import pyautogui
def scroll_up():
# Scroll up by pressing the Up arrow key five times
pyautogui.press('up', presses=5)
def scroll_down():
# Scroll down by pressing the Down arrow key five times
pyautogui.press('down', presses=5)
def scroll_to_top():
# Scroll to the top of the page
pyautogui.hotkey('home')
def scroll_to_bottom():
# Scroll to the bottom of the page
pyautogui.hotkey('end')
def perform_scroll_action(text):
if "scroll up" in text or "upar scroll karo" in text:
scroll_up()
elif "scroll down" in text or "neeche scroll karo" in text:
scroll_down()
elif "scroll to top" in text or "shuruat par jao" in text:
scroll_to_top()
elif "scroll to bottom" in text or "ant par jao" in text:
scroll_to_bottom()
else:
pass
================================================
FILE: Automation/tab_automation.py
================================================
import pyautogui
def open_new_tab():
pyautogui.hotkey('ctrl', 't')
def close_tab():
pyautogui.hotkey('ctrl', 'w')
def open_browser_menu():
pyautogui.hotkey('alt', 'f')
def zoom_in():
pyautogui.hotkey('ctrl', '+')
def zoom_out():
pyautogui.hotkey('ctrl', '-')
def refresh_page():
pyautogui.hotkey('ctrl', 'r')
def switch_to_next_tab():
pyautogui.hotkey('ctrl', 'tab')
def switch_to_previous_tab():
pyautogui.hotkey('ctrl', 'shift', 'tab')
def open_history():
pyautogui.hotkey('ctrl', 'h')
def open_bookmarks():
pyautogui.hotkey('ctrl', 'b')
def go_back():
pyautogui.hotkey('alt', 'left')
def go_forward():
pyautogui.hotkey('alt', 'right')
def open_dev_tools():
pyautogui.hotkey('ctrl', 'shift', 'i')
def toggle_full_screen():
pyautogui.hotkey('f11')
def open_private_window():
pyautogui.hotkey('ctrl', 'shift', 'n')
def perform_browser_action(text):
if "open new tab" in text or "new tab kholo" in text:
open_new_tab()
elif "close tab" in text or "tab band karo" in text:
close_tab()
elif "open browser menu" in text or "browser menu kholo" in text:
open_browser_menu()
elif "zoom in" in text or "zoom in karo" in text:
zoom_in()
elif "zoom out" in text or "zoom out karo" in text:
zoom_out()
elif "refresh page" in text or "page refresh karo" in text:
refresh_page()
elif "switch to next tab" in text or "next tab par jao" in text:
switch_to_next_tab()
elif "switch to previous tab" in text or "previous tab par jao" in text:
switch_to_previous_tab()
elif "open history" in text or "history kholo" in text:
open_history()
elif "open bookmarks" in text or "bookmarks kholo" in text:
open_bookmarks()
elif "go back" in text or "peeche jao" in text:
go_back()
elif "go forward" in text or "aage jao" in text:
go_forward()
elif "open dev tools" in text or "dev tools kholo" in text:
open_dev_tools()
elif "toggle full screen" in text or "full screen karo" in text:
toggle_full_screen()
elif "open private window" in text or "private window kholo" in text:
open_private_window()
else:
pass
================================================
FILE: Brain/brain.py
================================================
# from webscout import PhindSearch as brain
# ai = brain(
# is_conversation=True,
# max_tokens=800,
# timeout=30,
# intro='J.A.R.V.I.S',
# filepath=r"C:\Users\chatu\Desktop\J.A.R.V.I.S\chat_hystory.txt",
# update_file=True,
# proxies={},
# history_offset=10250,
# act=None,
# )
# def Main_Brain(text):
# r = ai.chat(text)
# return r
from webscout import PhindSearch
def Main_Brain(text):
ai = PhindSearch(quiet=True, filepath=r"C:\Users\chatu\Desktop\J.A.R.V.I.S\chat_hystory.txt", is_conversation=None)
res = ai.chat(text) # internel stream is not available for this Privider
return res
================================================
FILE: Data/DLG_Data.py
================================================
online_dlg = [
"Sir, I am online and ready",
"Sir, I am online",
"I am online, sir",
"Sir, my status is online",
"I am online, sir, happy to assist you",
"Sir, I am now online",
"I am online and ready to help, sir",
"Sir, I have gone online",
"Sir, I am online, awaiting your command",
"Sir, I am online and at your service",
"Online and ready, sir",
"I am online and here to assist, sir",
"Sir, I am now online and ready",
"Sir, I am online and ready to serve",
"Sir, I am online and operational",
"Sir, I have gone online and am ready to assist",
"Sir, I am online and available",
"Online and at your service, sir",
"Sir, I am online and prepared to help",
"Sir, I am online and standing by",
"Sir, I am online, how can I assist?",
"Sir, I am online and awaiting your instructions",
"Sir, I am now online, how can I help?",
"Sir, I am online and ready for your commands",
"Sir, I am online and ready to take your orders",
"Sir, I am online and ready for duty",
"Online and ready to assist, sir",
"Sir, I am online, what do you need?",
"Sir, I am online, how can I serve you?",
"Sir, I am online and at your disposal",
"Sir, I am online, what can I do for you?",
"Sir, I am online, ready and waiting",
"Sir, I am online and ready to go",
"Sir, I am online and ready to support you",
"Sir, I am online, your command is my wish",
"Sir, I am online and ready for action",
"Sir, I am online, ready to serve",
"Sir, I am online and here to help",
"Sir, I am online, how can I be of assistance?",
"Sir, I am online, how may I assist you?",
"Sir, I am online and at your service, awaiting commands",
"Sir, I am online and ready to execute your commands",
"Sir, I am online and ready to perform tasks",
"Sir, I am online and ready to assist with any tasks",
"Sir, I am online and ready to aid you",
"Sir, I am online and ready to handle your requests",
"Sir, I am online and here to serve you",
"Sir, I am online and at your command",
"Sir, I am online and awaiting your requests",
"Sir, I am online and ready for instructions",
"Sir, I am online and prepared to assist with any task",
"Sir, I am online and ready to follow your orders",
"Sir, I am online and prepared to serve",
"Sir, I am online, ready to assist",
"Sir, I am online and ready to support",
"Sir, I am online, here to help",
"Sir, I am online and ready to execute orders",
"Sir, I am online and ready for your instructions",
"Sir, I am online and ready to provide assistance",
"Sir, I am online and awaiting your commands",
"Sir, I am online and here to aid you",
"Sir, I am online and ready for your tasks",
"Sir, I am online and ready for any commands",
"Sir, I am online and ready to work",
"Sir, I am online and ready to be of service",
"Sir, I am online and at your disposal, ready to help",
"Sir, I am online and ready to take on tasks",
"Sir, I am online and prepared to assist in any way",
"Sir, I am online and ready to fulfill your requests",
"Sir, I am online and ready to help you",
"Sir, I am online and prepared for your instructions",
"Sir, I am online and ready to follow your lead",
"Sir, I am online and at your beck and call",
"Sir, I am online and ready to serve you",
"Sir, I am online and ready to assist with any requests",
"Sir, I am online and ready to follow your commands",
"Sir, I am online and here to assist with anything",
"Sir, I am online and ready for any task",
"Sir, I am online and ready for your guidance",
"Sir, I am online and ready to assist you in any way",
"Sir, I am online and ready to perform",
"Sir, I am online and at your service, ready to help",
"Sir, I am online and ready for any instructions",
"Sir, I am online and ready to assist with all tasks",
"Sir, I am online and prepared for any requests",
"Sir, I am online and ready to take on any task",
"Sir, I am online and ready for your directions",
"Sir, I am online and ready to assist with whatever you need",
"Sir, I am online and ready to serve your needs",
"Sir, I am online and ready to execute your tasks",
"Sir, I am online and ready to be at your service",
"Sir, I am online and ready to assist in any tasks",
"Sir, I am online and ready to perform any duty",
"Sir, I am online and prepared to assist you",
"Sir, I am online and ready for your requests",
"Sir, I am online and ready for any duty",
"Sir, I am online and ready to fulfill any request",
]
offline_dlg = [
"Sir, I am offline. Please connect to the WiFi or internet",
"Sir, I am currently offline. Please check the internet connection",
"I am offline, sir. Kindly connect me to the internet",
"Sir, my status is offline. Please ensure I am connected to the network",
"I am offline, sir. Please establish an internet connection",
"Sir, I am offline. Please connect me to the internet",
"Sir, I am offline. Kindly check the network connection",
"Sir, I am offline. Please reconnect me to the WiFi",
"Sir, I am offline. A network connection is required",
"Sir, I am offline. Please connect to the internet",
"Offline, sir. Please check the WiFi connection",
"Sir, I am offline. Internet connection needed",
"Sir, I am offline. Please verify the internet connection",
"Sir, I am offline. Network connection required",
"Sir, I am offline. Please reconnect to the internet",
"Sir, I am offline. WiFi connection needed",
"Sir, I am offline. Please ensure network connectivity",
"Offline status, sir. Please connect to the WiFi",
"Sir, I am offline. Please verify the network connection",
"Sir, I am offline. Internet access required",
"Sir, I am offline. Please check the internet connection",
"Sir, I am offline. Please ensure a stable network connection",
"Sir, I am offline. Please reconnect to the network",
"Sir, I am offline. A WiFi connection is needed",
"Sir, I am offline. Internet connection is necessary",
"Sir, I am offline. Please check WiFi or internet",
"Sir, I am offline. Network access required",
"Sir, I am offline. Please establish a connection to the internet",
"Sir, I am offline. Internet connection needed",
"Sir, I am offline. Please connect me to the network",
"Sir, I am offline. Please ensure internet connectivity",
"Sir, I am offline. Network connection needed",
"Sir, I am offline. Please verify internet access",
"Sir, I am offline. Please connect to WiFi",
"Sir, I am offline. Please ensure a network connection",
"Sir, I am offline. Please connect me to the WiFi",
"Sir, I am offline. Please reconnect to the internet",
"Sir, I am offline. Please check the network connection",
"Sir, I am offline. WiFi connection required",
"Sir, I am offline. Network connectivity is needed",
"Sir, I am offline. Internet access required",
"Sir, I am offline. Please ensure a stable internet connection",
"Sir, I am offline. Please connect to the network",
"Sir, I am offline. Internet connection required",
"Sir, I am offline. Please establish a network connection",
"Sir, I am offline. Please reconnect to the WiFi",
"Sir, I am offline. Please ensure a stable WiFi connection",
"Sir, I am offline. Network access needed",
"Sir, I am offline. Please connect to the internet",
"Sir, I am offline. WiFi access required",
"Sir, I am offline. Please ensure network access",
"Sir, I am offline. Please check the WiFi connection",
"Sir, I am offline. Please ensure an internet connection",
"Sir, I am offline. Network connection required",
"Sir, I am offline. Internet connection needed",
"Sir, I am offline. Please connect me to the network",
"Sir, I am offline. Please ensure internet access",
"Sir, I am offline. Network connectivity required",
"Sir, I am offline. Please check the network connection",
"Sir, I am offline. Please reconnect to the WiFi",
"Sir, I am offline. Internet connectivity required",
"Sir, I am offline. Network access needed",
"Sir, I am offline. Please verify the internet connection",
"Sir, I am offline. WiFi connection needed",
"Sir, I am offline. Please check the internet access",
"Sir, I am offline. Please ensure a WiFi connection",
"Sir, I am offline. Please reconnect to the network",
"Sir, I am offline. Internet access needed",
"Sir, I am offline. Network connection is required",
"Sir, I am offline. Please connect to the WiFi",
"Sir, I am offline. Please ensure internet connectivity",
"Sir, I am offline. Network access required",
"Sir, I am offline. Please verify network connection",
"Sir, I am offline. Please check the WiFi connection",
"Sir, I am offline. Internet connection required",
"Sir, I am offline. Network connection needed",
"Sir, I am offline. Please connect to the internet",
"Sir, I am offline. Please ensure network access",
"Sir, I am offline. Please check the network connectivity",
"Sir, I am offline. Please reconnect to the internet",
"Sir, I am offline. Internet access required",
"Sir, I am offline. Please ensure a network connection",
"Sir, I am offline. Please verify internet connection",
"Sir, I am offline. Please check the WiFi or internet connection",
"Sir, I am offline. Network connection required",
"Sir, I am offline. Please reconnect to the network",
"Sir, I am offline. Please connect to WiFi or internet",
"Sir, I am offline. Please ensure WiFi access",
"Sir, I am offline. Internet connection is needed",
"Sir, I am offline. Please check WiFi or internet access",
"Sir, I am offline. Please establish network connectivity",
]
================================================
FILE: Features/br_persentage.py
================================================
import wmi
from TextToSpeech.Fast_DF_TTS import speak
def get_brightness_windows():
try:
w = wmi.WMI(namespace='wmi')
brightness_methods = w.WmiMonitorBrightness()
brightness_percentage = brightness_methods[0].CurrentBrightness
return brightness_percentage
except Exception as e:
return f"Error: {e}"
def check_br_persentage():
brightness = get_brightness_windows()
speak(f"Current Brightness: {brightness}%")
================================================
FILE: Features/check_running_app.py
================================================
import psutil
def get_running_apps_windows():
try:
# Get a list of running processes
processes = [proc.name() for proc in psutil.process_iter(['name'])]
return list(set(processes)) # Remove duplicates
except Exception as e:
return f"Error: {e}"
def check_running_app():
running_apps = get_running_apps_windows()
print("Running Applications:")
for app in running_apps:
print(app)
================================================
FILE: Features/clap_d.py
================================================
import pyaudio
import struct
import math
INITIAL_TAP_THRESHOLD = 0.7222
FORMAT = pyaudio.paInt16
SHORT_NORMALIZE = (1.0 / 32768.0)
CHANNELS = 3
RATE = 44100
INPUT_BLOCK_TIME = 0.01
INPUT_FRAMES_PER_BLOCK = int(RATE * INPUT_BLOCK_TIME)
OVERSENSITIVE = 9.0 / INPUT_BLOCK_TIME
UNDERSENSITIVE = 10.0 / INPUT_BLOCK_TIME
MAX_TAP_BLOCKS = 0.15 / INPUT_BLOCK_TIME
REQUIRED_CLAPS = 2 # Adjust this value as needed
class TapTester(object):
def __init__(self):
self.pa = pyaudio.PyAudio()
self.stream = self.open_mic_stream()
self.tap_threshold = INITIAL_TAP_THRESHOLD
self.noisycount = MAX_TAP_BLOCKS + 1
self.quietcount = 0
self.errorcount = 0
def stop(self):
self.stream.close()
def find_input_device(self):
device_index = None
for i in range(self.pa.get_device_count()):
devinfo = self.pa.get_device_info_by_index(i)
for keyword in ["mic", "input"]:
if keyword in devinfo["name"].lower():
device_index = i
return device_index
if device_index is None:
print("No preferred input found; using default input device.")
return device_index
def open_mic_stream(self):
device_index = self.find_input_device()
stream = self.pa.open(format=FORMAT,
channels=CHANNELS,
rate=RATE,
input=True,
input_device_index=device_index,
frames_per_buffer=INPUT_FRAMES_PER_BLOCK)
return stream
@staticmethod
def get_rms(block):
count = len(block) / 2
format = "%dh" % count
shorts = struct.unpack(format, block)
sum_squares = 0.0
for sample in shorts:
n = sample * SHORT_NORMALIZE
sum_squares += n * n
return math.sqrt(sum_squares / count)
def listen(self):
try:
block = self.stream.read(INPUT_FRAMES_PER_BLOCK)
except IOError as e:
self.errorcount += 1
print("(%d) Error recording: %s" % (self.errorcount, e))
self.noisycount = 5
return
amplitude = self.get_rms(block)
if amplitude > self.tap_threshold:
self.quietcount = 2
self.noisycount += 1
if self.noisycount > OVERSENSITIVE:
self.tap_threshold *= 1.5
else:
if 1 <= self.noisycount <= MAX_TAP_BLOCKS:
return True
self.noisycount = 0
self.quietcount += 1
if self.quietcount > UNDERSENSITIVE:
self.tap_threshold *= 1
def clap_detect():
while True:
tt = TapTester()
clap_count = 0
while True:
if tt.listen():
clap_count += 2
if clap_count == REQUIRED_CLAPS:
print("clap dectected")
break
================================================
FILE: Features/clap_with_music.py
================================================
import os
import pygame
import random
from pygame import mixer
from Features.clap_d import *
def play_random_music(folder_path):
music_files = [file for file in os.listdir(folder_path) if file.endswith(('.mp3', '.wav', '.ogg', '.flac'))]
if not music_files:
print("No music files found in the specified folder.")
return
selected_music = random.choice(music_files)
music_path = os.path.join(folder_path, selected_music)
try:
# Initialize pygame and mixer
pygame.init()
mixer.init()
# Load and play the selected music file in the background
mixer.music.load(music_path)
mixer.music.play()
# Wait for the music to finish (or you can add some delay or user input here)
while pygame.mixer.music.get_busy():
pygame.time.Clock().tick(10) # Adjust the tick value as needed
# Stop and quit pygame mixer
mixer.music.stop()
mixer.quit()
except Exception as e:
print(f"Error playing music: {e}")
def clap_to_music():
while True:
tt = TapTester()
clap_count = 0
while True:
if tt.listen():
clap_count += 2
if clap_count == REQUIRED_CLAPS:
play_random_music(r"C:\Users\chatu\OneDrive\Desktop\J.A.R.V.I.S\DATA\MUSIC")
break
================================================
FILE: Features/create_file.py
================================================
def get_file_extension(text):
if "python file" in text:
ex = ".py"
elif "java file" in text:
ex = ".java"
elif "text file" in text:
ex = ".txt"
elif "html file" in text:
ex = ".html"
elif "css file" in text:
ex = ".css"
elif "javascript file" in text:
ex = ".js"
elif "json file" in text:
ex = ".json"
elif "xml file" in text:
ex = ".xml"
elif "csv file" in text:
ex = ".csv"
elif "markdown file" in text:
ex = ".md"
elif "yaml file" in text:
ex = ".yaml"
elif "image file" in text:
ex = ".jpg" # You can add more image extensions if needed
elif "video file" in text:
ex = ".mp4" # You can add more video extensions if needed
elif "audio file" in text:
ex = ".mp3" # You can add more audio extensions if needed
elif "pdf file" in text:
ex = ".pdf"
elif "word file" in text:
ex = ".docx"
elif "excel file" in text:
ex = ".xlsx"
elif "powerpoint file" in text:
ex = ".pptx"
elif "zip file" in text:
ex = ".zip"
elif "tar file" in text:
ex = ".tar"
else:
ex = "" # Default case if no match found
return ex
def update_text(text):
if "python file" in text:
text = text.replace("python file", "")
elif "java file" in text:
text = text.replace("java file", "")
elif "text file" in text:
text = text.replace("text file", "")
elif "html file" in text:
text = text.replace("html file", "")
elif "css file" in text:
text = text.replace("css file", "")
elif "javascript file" in text:
text = text.replace("javascript file", "")
elif "json file" in text:
text = text.replace("json file", "")
elif "xml file" in text:
text = text.replace("xml file", "")
elif "csv file" in text:
text = text.replace("csv file", "")
elif "markdown file" in text:
text = text.replace("markdown file", "")
elif "yaml file" in text:
text = text.replace("yaml file", "")
elif "image file" in text:
text = text.replace("image file", "")
elif "video file" in text:
text = text.replace("video file", "")
elif "audio file" in text:
text = text.replace("audio file", "")
elif "pdf file" in text:
text = text.replace("pdf file", "")
elif "word file" in text:
text = text.replace("word file", "")
elif "excel file" in text:
text = text.replace("excel file", "")
elif "powerpoint file" in text:
text = text.replace("powerpoint file", "")
elif "zip file" in text:
text = text.replace("zip file", "")
elif "tar file" in text:
text = text.replace("tar file", "")
else:
pass
return text
def create_file(text):
selected_ex = get_file_extension(text)
text = update_text(text)
if "named" in text or "with name" in text:
text = text.replace("named","")
text = text.replace("with name","")
text = text.replace("create","")
text = text.strip()
with open(f"{text}{selected_ex}","w"):
pass
else :
with open(f"demo{selected_ex}","w"):
pass
================================================
FILE: Features/find_my_ip.py
================================================
import requests
def find_my_ip():
ip_address = requests.get('https://api64.ipify.org?format=json').json()
return ip_address["ip"]
================================================
FILE: Features/get_advice.py
================================================
import requests
def get_random_advice():
res = requests.get("https://api.adviceslip.com/advice").json()
return res['slip']['advice']
================================================
FILE: Features/get_jokes.py
================================================
import requests
def get_random_joke():
headers = {
'Accept': 'application/json'
}
res = requests.get("https://icanhazdadjoke.com/", headers=headers).json()
return res["joke"]
================================================
FILE: Features/mike_health.py
================================================
import pyaudio
import numpy as np
import time
from TextToSpeech.Fast_DF_TTS import speak
def get_mic_health(seconds=5, initial_threshold=500):
CHUNK = 1024 # Audio chunk size
FORMAT = pyaudio.paInt16 # 16-bit resolution
CHANNELS = 1 # Mono audio
RATE = 44100 # Sampling rate
# Initialize PyAudio
audio = pyaudio.PyAudio()
# Open the stream
stream = audio.open(format=FORMAT, channels=CHANNELS,
rate=RATE, input=True,
frames_per_buffer=CHUNK)
print(f"Recording for {seconds} seconds...")
time.sleep(1) # Small pause before recording
# Initialize variables
sound_count = 0
total_samples = 0
noise_floor = 0 # Ambient noise level
clipping_count = 0
signal_sum = 0 # Sum of sound levels
noise_sum = 0 # Sum of background noise levels (below threshold)
freq_analysis = [] # Frequency analysis data
for _ in range(0, int(RATE / CHUNK * seconds)):
data = np.frombuffer(stream.read(CHUNK), dtype=np.int16)
volume = np.linalg.norm(data)
# Frequency analysis (FFT)
freqs = np.fft.fftfreq(len(data))
fft_spectrum = np.abs(np.fft.fft(data))
freq_analysis.append(fft_spectrum)
# Update ambient noise level dynamically
noise_floor = max(noise_floor, np.mean(np.abs(data)) * 1.5)
# Dynamic threshold based on ambient noise
dynamic_threshold = max(initial_threshold, noise_floor)
# Check for sound detection
if volume > dynamic_threshold: # Sound detected
sound_count += 1
signal_sum += volume
else: # No sound detected (background noise)
noise_sum += volume
# Detect clipping (when the sound is too loud for the mic)
if np.max(np.abs(data)) >= 32767:
clipping_count += 1
total_samples += 1
# Calculate metrics
mic_health = (sound_count / total_samples) * 100
avg_signal = signal_sum / max(1, sound_count)
avg_noise = noise_sum / max(1, (total_samples - sound_count))
snr = 10 * np.log10(avg_signal / max(1, avg_noise)) # Signal-to-Noise Ratio
avg_clipping = (clipping_count / total_samples) * 100
# Frequency analysis (average frequencies captured)
avg_fft_spectrum = np.mean(freq_analysis, axis=0)
freq_range_coverage = np.mean(avg_fft_spectrum > np.median(avg_fft_spectrum)) * 100
# Close the stream
stream.stop_stream()
stream.close()
audio.terminate()
# Output advanced health metrics
health_report = {
'Microphone Health (%)': mic_health,
'Average Signal-to-Noise Ratio (dB)': snr,
'Clipping Percentage (%)': avg_clipping,
'Frequency Range Coverage (%)': freq_range_coverage
}
return health_report
def mike_health():
health_metrics = get_mic_health(seconds=5)
for metric, value in health_metrics.items():
speak(f"{metric}: {value:.2f}")
================================================
FILE: Features/set_br.py
================================================
import wmi
from TextToSpeech.Fast_DF_TTS import speak
def set_brightness_windows(percentage):
try:
w = wmi.WMI(namespace='wmi')
brightness_methods = w.WmiMonitorBrightnessMethods()[0]
brightness_methods.WmiSetBrightness(int(percentage), 0)
speak(f"Brightness set to {percentage}%")
except Exception as e:
speak(f"Error: {e}")
================================================
FILE: Features/set_get_volume.py
================================================
from ctypes import cast, POINTER
from comtypes import CLSCTX_ALL
from pycaw.pycaw import AudioUtilities, IAudioEndpointVolume
from TextToSpeech.Fast_DF_TTS import speak
# Function to get current volume
def get_volume_windows():
devices = AudioUtilities.GetSpeakers()
interface = devices.Activate(IAudioEndpointVolume._iid_, CLSCTX_ALL, None)
volume = cast(interface, POINTER(IAudioEndpointVolume))
current_volume = volume.GetMasterVolumeLevelScalar() * 100
speak(f"the device is running on {int(round(current_volume, 2))} % volume level")
# Function to set the system volume
def set_volume_windows(percentage):
devices = AudioUtilities.GetSpeakers()
interface = devices.Activate(IAudioEndpointVolume._iid_, CLSCTX_ALL, None)
volume = cast(interface, POINTER(IAudioEndpointVolume))
# Convert percentage to scalar value (0.0 to 1.0)
volume.SetMasterVolumeLevelScalar(percentage / 100, None)
speak(f"Volume set to {percentage}%")
================================================
FILE: Features/speaker_health.py
================================================
import numpy as np
import pyaudio
import time
from scipy import signal
from TextToSpeech.Fast_DF_TTS import speak
def play_tone(frequency, duration=2, volume=0.5, sample_rate=44100):
"""
Plays a single tone of a specific frequency through the speaker.
"""
# Generate samples for the sine wave
t = np.linspace(0, duration, int(sample_rate * duration), False)
tone = np.sin(frequency * t * 2 * np.pi)
# Ensure the tone is in the correct format
audio_data = (tone * volume * 32767).astype(np.int16)
# Initialize PyAudio
p = pyaudio.PyAudio()
# Open stream
stream = p.open(format=pyaudio.paInt16,
channels=1,
rate=sample_rate,
output=True)
# Play the tone
stream.write(audio_data.tobytes())
# Stop the stream
stream.stop_stream()
stream.close()
p.terminate()
def play_sweep(duration=5, volume=0.5, sample_rate=44100, start_freq=20, end_freq=20000):
"""
Plays a frequency sweep from start_freq to end_freq through the speaker.
Useful for testing the full frequency range of the speaker.
"""
t = np.linspace(0, duration, int(sample_rate * duration), False)
sweep = signal.chirp(t, start_freq, t[-1], end_freq, method='logarithmic')
# Ensure the sweep is in the correct format
audio_data = (sweep * volume * 32767).astype(np.int16)
# Initialize PyAudio
p = pyaudio.PyAudio()
# Open stream
stream = p.open(format=pyaudio.paInt16,
channels=1,
rate=sample_rate,
output=True)
# Play the sweep
stream.write(audio_data.tobytes())
# Stop the stream
stream.stop_stream()
stream.close()
p.terminate()
def speaker_health_test():
"""
This function plays different tones and sweeps to test the speaker's health.
It returns a speaker health percentage based on the tone coverage.
"""
speak("Playing test tones...")
health_score = 0
# Test low-frequency tones (below 500 Hz)
speak("Playing 100 Hz tone...")
play_tone(100, duration=2)
time.sleep(1)
health_score += 25 # Assuming low-frequency played fine
# Test mid-frequency tones (500 Hz to 5000 Hz)
speak("Playing 1000 Hz tone...")
play_tone(1000, duration=2)
time.sleep(1)
health_score += 25 # Assuming mid-frequency played fine
# Test higher frequencies (5000 Hz and above)
speak("Playing 5000 Hz tone...")
play_tone(5000, duration=2)
time.sleep(1)
health_score += 20 # Slightly lower score for high frequencies, which may be harder for some speakers
speak("Playing 10,000 Hz tone...")
play_tone(10000, duration=2)
time.sleep(1)
health_score += 15 # High-pitch tones are harder to reproduce
# Play a frequency sweep to test full frequency response
speak("Playing frequency sweep from 20 Hz to 20,000 Hz...")
play_sweep(duration=5)
time.sleep(1)
health_score += 15 # Frequency sweep covers a wide range
# Speaker health assessment
speak("\nSpeaker health test complete.")
# Calculate health percentage
speak(f"\nSpeaker Health: {health_score}%")
if health_score == 100:
speak("The speaker is in excellent condition!")
elif 80 <= health_score < 100:
speak("The speaker is in good condition.")
elif 60 <= health_score < 80:
speak("The speaker is in average condition.")
else:
speak("The speaker might be in poor condition.")
================================================
FILE: LICENSE
================================================
GNU GENERAL PUBLIC LICENSE
Version 3, 29 June 2007
Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.
Preamble
The GNU General Public License is a free, copyleft license for
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The licenses for most software and other practical works are designed
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When we speak of free software, we are referring to freedom, not
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TERMS AND CONDITIONS
0. Definitions.
"This License" refers to version 3 of the GNU General Public License.
"Copyright" also means copyright-like laws that apply to other kinds of
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1. Source Code.
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10. Automatic Licensing of Downstream Recipients.
Each time you convey a covered work, the recipient automatically
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An "entity transaction" is a transaction transferring control of an
organization, or substantially all assets of one, or subdividing an
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You may not impose any further restrictions on the exercise of the
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available, or (2) arrange to deprive yourself of the benefit of the
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in a country, would infringe one or more identifiable patents in that
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or that patent license was granted, prior to 28 March 2007.
Nothing in this License shall be construed as excluding or limiting
any implied license or other defenses to infringement that may
otherwise be available to you under applicable patent law.
12. No Surrender of Others' Freedom.
If conditions are imposed on you (whether by court order, agreement or
otherwise) that contradict the conditions of this License, they do not
excuse you from the conditions of this License. If you cannot convey a
covered work so as to satisfy simultaneously your obligations under this
License and any other pertinent obligations, then as a consequence you may
not convey it at all. For example, if you agree to terms that obligate you
to collect a royalty for further conveying from those to whom you convey
the Program, the only way you could satisfy both those terms and this
License would be to refrain entirely from conveying the Program.
13. Use with the GNU Affero General Public License.
Notwithstanding any other provision of this License, you have
permission to link or combine any covered work with a work licensed
under version 3 of the GNU Affero General Public License into a single
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License will continue to apply to the part which is the covered work,
but the special requirements of the GNU Affero General Public License,
section 13, concerning interaction through a network will apply to the
combination as such.
14. Revised Versions of this License.
The Free Software Foundation may publish revised and/or new versions of
the GNU General Public License from time to time. Such new versions will
be similar in spirit to the present version, but may differ in detail to
address new problems or concerns.
Each version is given a distinguishing version number. If the
Program specifies that a certain numbered version of the GNU General
Public License "or any later version" applies to it, you have the
option of following the terms and conditions either of that numbered
version or of any later version published by the Free Software
Foundation. If the Program does not specify a version number of the
GNU General Public License, you may choose any version ever published
by the Free Software Foundation.
If the Program specifies that a proxy can decide which future
versions of the GNU General Public License can be used, that proxy's
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to choose that version for the Program.
Later license versions may give you additional or different
permissions. However, no additional obligations are imposed on any
author or copyright holder as a result of your choosing to follow a
later version.
15. Disclaimer of Warranty.
THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
16. Limitation of Liability.
IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
SUCH DAMAGES.
17. Interpretation of Sections 15 and 16.
If the disclaimer of warranty and limitation of liability provided
above cannot be given local legal effect according to their terms,
reviewing courts shall apply local law that most closely approximates
an absolute waiver of all civil liability in connection with the
Program, unless a warranty or assumption of liability accompanies a
copy of the Program in return for a fee.
END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
<one line to give the program's name and a brief idea of what it does.>
Copyright (C) <year> <name of author>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If the program does terminal interaction, make it output a short
notice like this when it starts in an interactive mode:
<program> Copyright (C) <year> <name of author>
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
parts of the General Public License. Of course, your program's commands
might be different; for a GUI interface, you would use an "about box".
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU GPL, see
<https://www.gnu.org/licenses/>.
The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
<https://www.gnu.org/licenses/why-not-lgpl.html>.
================================================
FILE: NetHyTechSTT/listen.py
================================================
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.chrome.options import Options
from os import getcwd
# Setting up Chrome options with specific arguments
chrome_options = Options()
chrome_options.add_argument("--use-fake-ui-for-media-stream")
chrome_options.add_argument("--headless=old") # Remove this if you want to see the browser UI
# Manually set the path to the ChromeDriver executable
chrome_driver_path = f"{getcwd()}\\chromedriver.exe"
service = Service(executable_path=chrome_driver_path)
# Setting up the Chrome driver with the service and options
driver = webdriver.Chrome(service=service, options=chrome_options)
# Creating the URL for the website using the current working directory
website = "https://allorizenproject1.netlify.app/"
# Opening the website in the Chrome browser
driver.get(website)
Recog_File = f"{getcwd()}\\input.txt"
def listen():
print("Support in Youtube @NetHyTech")
try:
start_button = WebDriverWait(driver, 20).until(EC.element_to_be_clickable((By.ID, 'startButton')))
start_button.click()
print("Listening...")
output_text = ""
is_second_click = False
while True:
output_element = WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.ID, 'output')))
current_text = output_element.text.strip()
if "Start Listening" in start_button.text and is_second_click:
if output_text:
is_second_click = False
elif "Listening..." in start_button.text:
is_second_click = True
if current_text != output_text:
output_text = current_text
with open(Recog_File, "w") as file:
file.write(output_text.lower())
print("User:", output_text)
except KeyboardInterrupt:
print("Process interrupted by user.")
except Exception as e:
print("An error occurred:", e)
finally:
driver.quit()
================================================
FILE: New/datafeatch.py
================================================
import requests
from bs4 import BeautifulSoup
from nltk.tokenize import sent_tokenize
from nltk.corpus import stopwords
from nltk import download
# Download NLTK resources required
download('punkt')
download('stopwords')
def get_search_results(query):
query = query.replace(' ', '+')
url = f"https://www.google.com/search?q={query}"
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.107 Safari/537.36"
}
response = requests.get(url, headers=headers)
response.raise_for_status()
soup = BeautifulSoup(response.text, 'html.parser')
results = []
for g in soup.find_all('div', class_='tF2Cxc')[:2]: # Extract first two results
title = g.find('h3').text
snippet = g.find('div', class_='VwiC3b').text
link = g.find('a')['href']
if len(snippet) > 50: # Avoid overly short or irrelevant snippets
results.append({
"title": title,
"snippet": snippet,
"link": link
})
return results
def summarize_text(text):
sentences = sent_tokenize(text)
stop_words = set(stopwords.words("english"))
# Rank sentences based on the number of significant words they contain
ranked_sentences = {}
for i, sentence in enumerate(sentences):
words = sentence.split()
rank = sum(1 for word in words if word.lower() not in stop_words)
ranked_sentences[i] = rank
# Extract the top 2 ranked sentences as the summary
top_sentences = sorted(ranked_sentences, key=ranked_sentences.get, reverse=True)[:2]
summary = " ".join([sentences[i] for i in sorted(top_sentences)])
return summary
def main():
query = input("Enter your search query: ")
search_results = get_search_results(query)
print("\nSearch Results:\n")
for idx, result in enumerate(search_results):
print(f"Result {idx + 1}:")
print(f"Title: {result['title']}")
print(f"URL: {result['link']}")
print(f"Snippet: {result['snippet']}\n")
summarized_snippet = summarize_text(result['snippet'])
print(f"Summary: {summarized_snippet}\n")
if __name__ == "__main__":
main()
================================================
FILE: PyWhatKit_DB.txt
================================================
Date: 7/8/2024
Time: 1:26
Phone Number: +1234567890
Message: Hello, this is a near real-time automated message!
--------------------
Date: 7/8/2024
Time: 1:28
Phone Number: +919606348280
Message: Hello, this is a near real-time automated message!
--------------------
Date: 7/8/2024
Time: 1:38
Phone Number: +919606348280
Message: hey this is demo
--------------------
Date: 7/8/2024
Time: 1:41
Phone Number: +919606348280
Image: captured_image.png
Caption:
--------------------
Date: 7/8/2024
Time: 1:57
Phone Number: +919606348280
Message: hey this is demo
--------------------
Date: 7/8/2024
Time: 2:6
Phone Number: +919606348280
Message: message is hello how can i assist you
--------------------
Date: 7/8/2024
Time: 2:9
Phone Number: +919606348280
Message: hello i am doing great
--------------------
================================================
FILE: README.md
================================================
# J.A.R.V.I.S - Just A Rather Very Intelligent System 🤖
[![LinkedIn][linkedin-shield]][linkedin-url]
[![Instagram][instagram-shield]][instagram-url]
[![Twitter][twitter-shield]][twitter-url]
[![YouTube][youtube-shield]][youtube-url]
[![Telegram][telegram-shield]][telegram-url]
**Welcome to J.A.R.V.I.S!**
J.A.R.V.I.S (Just A Rather Very Intelligent System) is an advanced AI assistant inspired by Iron Man's Jarvis, designed to assist with various tasks, from navigating websites to controlling your PC with natural language commands.
## Installation ⚙️
1. Clone the repository:
```bash
git clone https://github.com/AnubhavChaturvedi-GitHub/J.A.R.V.I.S.git
```
2. Navigate to the project directory:
```bash
cd J.A.R.V.I.S
```
3. Install the dependencies:
```bash
pip install -r requirements.txt
```
## Usage 🚀
To start the assistant, run:
```bash
python jarvis.py
```
## Contribution 🤝
Feel free to fork the repository, submit issues, or create pull requests. Your contributions are welcome!
## License 📄
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
<!-- Linkedin -->
[linkedin-shield]: https://img.shields.io/badge/-LinkedIn-black.svg?style=for-the-badge&logo=linkedin&colorB=0B5FBB
[linkedin-url]: https://www.linkedin.com/in/anubhav-chaturvedi-/
<!-- Instagram -->
[instagram-shield]: https://img.shields.io/badge/Instagram-%23E4405F.svg?style=for-the-badge&logo=Instagram&logoColor=white
[instagram-url]: https://www.instagram.com/_anubhav__chaturvedi_/
<!-- Twitter -->
[twitter-shield]: https://img.shields.io/badge/Twitter-%231DA1F2.svg?style=for-the-badge&logo=Twitter&logoColor=white
[twitter-url]: https://x.com/AnubhavChatu
<!-- YouTube -->
[youtube-shield]: https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white
[youtube-url]: https://www.youtube.com/@NetHyTech
<!-- Telegram -->
[telegram-shield]: https://img.shields.io/badge/Telegram-%231DA1F2.svg?style=for-the-badge&logo=Telegram&logoColor=white
[telegram-url]: https://t.me/YourTelegramUsername
================================================
FILE: Real_Time/google_big.py
================================================
from selenium.webdriver.support import expected_conditions as EC
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.by import By
import re
from selenium.webdriver.support.wait import WebDriverWait
def search_and_extract(text):
try:
chrome_options = Options()
chrome_options.add_argument("--headless")
# Set the path to your ChromeDriver executable
chrome_driver_path = r'C:\Users\chatu\OneDrive\Desktop\J.A.R.V.I.S\DATA\chromedriver.exe'
chrome_service = Service(chrome_driver_path)
driver = webdriver.Chrome(service=chrome_service, options=chrome_options)
# Open Google in the browser
driver.get("https://www.google.com")
# Find the search box using its name attribute value
search_box = driver.find_element("name", "q")
# Type the search query
search_query = text
search_box.send_keys(search_query)
# Submit the form
search_box.send_keys(Keys.RETURN)
# Wait for the search box to be present (adjust the timeout as needed)
WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.NAME, 'q')))
# Find the first search result element
first_result = driver.find_element(By.CSS_SELECTOR, 'div.g')
# Extract the link of the first result
first_result_link = first_result.find_element(By.CSS_SELECTOR, 'a').get_attribute('href')
# Visit the first result link
driver.get(first_result_link)
# Extract the webpage content
webpage_content = driver.page_source
# Parse the webpage content with BeautifulSoup
soup = BeautifulSoup(webpage_content, 'html.parser')
# Extract text from the webpage, excluding script and style tags
webpage_text = ' '.join([p.get_text() for p in soup.find_all('p')])
# Extract keywords or relevant information based on your specific requirements
# For example, you can use a keyword extraction library or manually define keywords
# Extract and print the first 8-9 sentences from the webpage text
sentences = re.split(r'(?<=[.!?])\s', webpage_text)
result_text = '. '.join(sentences[:9])
return result_text
except Exception as e:
print("An error occurred:", e)
except Exception as e:
print("An error occurred:", e)
driver.quit()
#########################################
from sumy.parsers.plaintext import PlaintextParser
from sumy.nlp.tokenizers import Tokenizer
from sumy.summarizers.lsa import LsaSummarizer
def summarize_text(text, sentences_count=5):
parser = PlaintextParser.from_string(text, Tokenizer("english"))
summarizer = LsaSummarizer()
summary = summarizer(parser.document, sentences_count)
return ' '.join([str(sentence) for sentence in summary])
# Example usage
def summary(text):
text_to_summarize = text
summary_result = summarize_text(text_to_summarize)
return summary_result
def deep_search(text):
x = text
y = search_and_extract(x)
x = summary(y)
return x
================================================
FILE: Real_Time/google_small.py
================================================
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.by import By
import re
chrome_options = Options()
chrome_options.add_argument("--headless")
# Set the path to your ChromeDriver executable
chrome_driver_path = r'C:\Users\chatu\OneDrive\Desktop\J.A.R.V.I.S\DATA\chromedriver.exe'
chrome_service = Service(chrome_driver_path)
driver = webdriver.Chrome(service=chrome_service, options=chrome_options)
# Open Google in the browser
driver.get("https://www.google.com")
def search_brain(text):
try:
# Find the search box using its name attribute value
search_box = driver.find_element("name", "q")
# Clear the search box content
search_box.clear()
# Type the search query
search_query = text
search_box.send_keys(search_query)
# Submit the form
search_box.send_keys(Keys.RETURN)
# Wait for a few seconds (you may need to adjust this based on your internet speed)
driver.implicitly_wait(5)
# Find the first search result element
first_result = driver.find_element(By.CSS_SELECTOR, 'div.g')
# Extract and print the first 3-4 sentences from the first search result, excluding links and dates
first_result_text = first_result.text
sentences = re.split(r'(?<=[.!?])\s', first_result_text)
# Filter out sentences containing common link and date patterns
filtered_sentences = [sentence for sentence in sentences if not re.search(r'https?://\S+|(\d{1,2} [A-Za-z]+ \d{10})', sentence)]
# Join the remaining sentences
result_text = '. '.join(filtered_sentences[:10])
result_text = result_text.replace("Featured snippet from the web","")
return result_text
except Exception as e:
print("An error occurred:", e)
================================================
FILE: TextToImage/gen_image.py
================================================
import requests
from PIL import Image
from io import BytesIO
def generate_image(text):
url = 'https://api.airforce/v1/imagine2'
params = {'prompt': text}
response = requests.get(url, params=params)
if response.status_code == 200:
image = Image.open(BytesIO(response.content))
image.save('generated_image.png')
image.show()
print('Image saved as generated_image.png')
else:
print(f'Failed to retrieve image. Status code: {response.status_code}')
================================================
FILE: TextToSpeech/Fast_DF_TTS.py
================================================
import requests # pip install requests
from playsound import playsound # pip install playsound==1.2.2
import os
from typing import Union # pip install typing
import sys
import time
import threading
def generate_audio(message: str,voice : str = "Matthew"):
url: str = f"https://api.streamelements.com/kappa/v2/speech?voice={voice}&text={{{message}}}"
headers = {'User-Agent':'Mozilla/5.0(Maciontosh;intel Mac OS X 10_15_7)AppleWebKit/537.36(KHTML,like Gecoko)Chrome/119.0.0.0 Safari/537.36'}
try:
result = requests.get(url=url, headers=headers)
return result.content
except:
return None
def print_animated_message(message):
for char in message:
sys.stdout.write(char)
sys.stdout.flush()
time.sleep(0.050) # Adjust the sleep duration for the animation speed
print()
def Co_speak(message: str, voice: str = "Matthew", folder: str = "", extension: str = ".mp3") -> Union[None,str]:
try:
result_content = generate_audio(message,voice)
file_path = os.path.join(folder,f"{voice}{extension}")
with open(file_path,"wb") as file:
file.write(result_content)
playsound(file_path)
os.remove(file_path)
return None
except Exception as e:
print(e)
def speak(text):
t1 = threading.Thread(target=Co_speak,args=(text,))
t2 = threading.Thread(target=print_animated_message,args=(text,))
t1.start()
t2.start()
t1.join()
t2.join()
#c
================================================
FILE: Time_Operations/brain.py
================================================
import re
from os import getcwd
def parse_input(input_text):
# Regular expression to extract time in format like "07:30 PM" or "8:00pm"
time_regex = r'(\d{1,2}:\d{2} ?(?:AM|PM|am|pm))'
# Find all matches of time in the input text
times = re.findall(time_regex, input_text)
if times:
# Assuming the first time found is the intended time
time_match = times[0]
# Normalize the time format to "hh:mmAM/PM"
formatted_time = time_match.strip().replace(" ", "").upper()
updated_input_text = input_text.replace(time_match, "").replace("at", "").replace("tell me", "").replace("Tell me", "").replace("to", "").strip()
# Combine formatted time with command
formatted_output = f"{formatted_time} = Sir tis is Your {updated_input_text} time"
return formatted_output, formatted_time
else:
return "No valid time found in input", None
def save_to_file(output_text, time, filename):
try:
with open(filename, 'r') as file:
lines = file.readlines()
except FileNotFoundError:
lines = []
time_found = False
with open(filename, 'w') as file:
for line in lines:
if line.startswith(time):
file.write(output_text + '\n')
time_found = True
else:
file.write(line)
if not time_found:
file.write(output_text + '\n')
# Example usage:
def input_manage(input_text):
output, time = parse_input(input_text)
if output != "No valid time found in input":
save_to_file(output, time, r'C:\Users\chatu\OneDrive\Desktop\Jarvis\schedule.txt')
print("Schedule_Data_Saved")
else:
print(output)
def parse_input_Alarm(input_text):
# Regular expression to extract time in format like "07:30 PM" or "8:00pm"
time_regex = r'(\d{1,2}:\d{2} ?(?:AM|PM|am|pm))'
# Find all matches of time in the input text
times = re.findall(time_regex, input_text)
if times:
# Assuming the first time found is the intended time
time_match = times[0]
# Normalize the time format to "hh:mmAM/PM"
formatted_time = time_match.strip().replace(" ", "").upper()
return formatted_time
else:
return "No valid time found in input", None
def save_to_Alarmfile(time, filename):
try:
with open(filename, 'w') as file:
file.write(str(time) + '\n')
except FileNotFoundError:
print("fine not found")
def input_manage_Alam(input_text):
time = parse_input_Alarm(input_text)
if time != "No valid time found in input":
save_to_Alarmfile(time, r'C:\Users\chatu\OneDrive\Desktop\Jarvis\Alam_data.txt')
print("Schedule_Data_Saved")
else:
print("pass")
================================================
FILE: Time_Operations/throw_alert.py
================================================
import os
import time
import threading
from Alert import Alert
from TextToSpeech.Fast_DF_TTS import speak
import threading
from Time_Operations.brain import input_manage
from os import getcwd
def load_schedule(file_path):
schedule = {}
try:
with open(file_path, 'r') as file:
for line in file:
if '=' in line:
line_time, activity = line.strip().split(' = ')
schedule[line_time.strip()] = activity.strip()
except Exception as e:
print(f"Error loading schedule: {e}")
return schedule
def check_schedule(file_path):
last_modified = 0
while True:
current_time = time.strftime("%I:%M%p")
try:
# Check file modification time
modified = os.path.getmtime(file_path)
if modified != last_modified:
last_modified = modified
schedule = load_schedule(file_path)
if current_time in schedule:
text = schedule[current_time]
t1 = threading.Thread(target=Alert, args=(text,))
t2 = threading.Thread(target=speak, args=(text,))
t1.start()
t2.start()
t1.join()
t2.join()
except Exception as e:
print(f"Error: {e}")
time.sleep(60)
def load_AlamTime(file_path):
schedule = {}
try:
with open(file_path, 'r') as file:
schedule = file.read()
except Exception as e:
print(f"Error loading schedule: {e}")
return schedule
Alam_path = r"C:\Users\chatu\OneDrive\Desktop\Jarvis\Alam_data.txt"
def check_Alam(Alam_path):
last_modified = 0
while True:
current_time = time.strftime("%I:%M%p")
try:
# Check file modification time
modified = os.path.getmtime(Alam_path)
if modified != last_modified:
last_modified = modified
schedule = load_AlamTime(Alam_path)
if current_time in schedule:
text = "This is Alarm"
t1 = threading.Thread(target=Alert, args=(text,))
t2 = threading.Thread(target=speak, args=(text,))
t1.start()
t2.start()
t1.join()
t2.join()
except Exception as e:
print(f"Error: {e}")
time.sleep(10)
================================================
FILE: Vision/MVbrain.py
================================================
import requests
import json
import base64
import cv2
def capture_image_and_save(image_path="captured_image.png"):
# Replace the IP and port with your DroidCam IP and port
droidcam_url = "http://192.168.203.6:4747/video" # Example IP and port, replace with yours
cap = cv2.VideoCapture(droidcam_url)
if not cap.isOpened():
print("Error: Could not open camera.")
return False
try:
# Capture a single frame
ret, frame = cap.read()
if ret:
# Save the image in PNG format
cv2.imwrite(image_path, frame)
print(f"Image captured and saved as {image_path}")
return True
else:
print("Error: Could not capture image.")
return False
finally:
# Release the camera
cap.release()
cv2.destroyAllWindows()
# Function to encode an image to Base64
def encode_image_to_base64(image_path):
with open(image_path, "rb") as image_file:
encoded_string = base64.b64encode(image_file.read()).decode('utf-8')
return encoded_string
def mobile_vision_brain(encoded_image):
url = "https://api.deepinfra.com/v1/openai/chat/completions"
headers = {
"accept": "text/event-stream",
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36 Edg/127.0.0.0",
"x-deepinfra-source": "model-embed"
}
payload = {
"model": "llava-hf/llava-1.5-7b-hf",
"messages": [
{
"role": "user",
"content": [
{
"type": "image_url",
"image_url": {
"url": f"data:image/jpeg;base64,{encoded_image}"
}
},
{
"type": "text",
"text": "What is written in this image?"
}
]
}
]
}
# Convert the payload to JSON
payload_json = json.dumps(payload)
# Make the POST request
response = requests.post(url, headers=headers, data=payload_json)
# Check if the request was successful
if response.status_code == 200:
response_str = response.content.decode('utf-8')
data = json.loads(response_str)
answer = data['choices'][0]['message']['content']
return answer
else:
print(f"Error: API request failed with status code {response.status_code}")
return None
================================================
FILE: Vision/Vbrain.py
================================================
import requests
import json
import base64
import cv2
def capture_image_and_save(image_path="captured_image.png"):
# Initialize the camera
cap = cv2.VideoCapture(0) # 0 is the default camera
if not cap.isOpened():
print("Error: Could not open camera.")
return False
try:
# Capture a single frame
ret, frame = cap.read()
if ret:
# Save the image in PNG format
cv2.imwrite(image_path, frame)
print(f"Image captured and saved as {image_path}")
return True
else:
print("Error: Could not capture image.")
return False
finally:
# Release the camera
cap.release()
cv2.destroyAllWindows()
# Function to encode an image to Base64
def encode_image_to_base64(image_path):
with open(image_path, "rb") as image_file:
encoded_string = base64.b64encode(image_file.read()).decode('utf-8')
return encoded_string
def vision_brain(encoded_image):
url = "https://api.deepinfra.com/v1/openai/chat/completions"
headers = {
"accept": "text/event-stream",
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36 Edg/127.0.0.0",
"x-deepinfra-source": "model-embed"
}
payload = {
"model": "llava-hf/llava-1.5-7b-hf",
"messages": [
{
"role": "user",
"content": [
{
"type": "image_url",
"image_url": {
"url": f"data:image/jpeg;base64,{encoded_image}"
}
},
{
"type": "text",
"text": "What is written in this image?"
}
]
}
]
}
# Convert the payload to JSON
payload_json = json.dumps(payload)
# Make the POST request
response = requests.post(url, headers=headers, data=payload_json)
# Check if the request was successful
if response.status_code == 200:
response_str = response.content.decode('utf-8')
data = json.loads(response_str)
answer = data['choices'][0]['message']['content']
return answer
else:
print(f"Error: API request failed with status code {response.status_code}")
return None
================================================
FILE: Weather_Check/check_weather.py
================================================
import requests
from bs4 import BeautifulSoup
def get_weather_by_address(address):
# Use Google to find the weather for the address
search_url = f"https://www.google.com/search?q=weather+{address.replace(' ', '+')}"
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36"
}
response = requests.get(search_url, headers=headers)
if response.status_code == 200:
soup = BeautifulSoup(response.text, 'html.parser')
# Scrape the relevant weather data
location = soup.find("div", attrs={"id": "wob_loc"}).text
time = soup.find("div", attrs={"id": "wob_dts"}).text
weather = soup.find("span", attrs={"id": "wob_dc"}).text
temp = soup.find("span", attrs={"id": "wob_tm"}).text
weather_report = (f"Weather: {weather}\n"
f"Temperature: {temp}°C")
return weather_report
else:
return "Error retrieving weather data."
================================================
FILE: Whatsapp_automation/wa.py
================================================
import pywhatkit as kit
import datetime
from TextToSpeech.Fast_DF_TTS import speak
from os import getcwd
now = datetime.datetime.now()
hour = now.hour
minute = now.minute
def clear_file():
with open(f"{getcwd()}\\input.txt","w") as file:
file.truncate(0)
anubhav = "+919606348280"
def send_msg_wa():
speak("who do you want to send sir ?")
output_text = ""
while True:
with open("input.txt","r") as file:
input_text = file.read().lower()
if input_text != output_text:
output_text = input_text
if output_text.startswith("send to") or output_text.startswith("send tu"):
output_text.replace("send to","")
output_text.replace("send tu","")
if "anubhav" in output_text:
speak("By the way what is the message , sir ?")
while True:
with open("input.txt","r") as file:
input_text = file.read().lower()
if input_text != output_text:
output_text = input_text
if output_text.startswith("message is"):
message = output_text.replace("message is","")
kit.sendwhatmsg(anubhav,message,hour,minute+1)
speak("message send successfully")
================================================
FILE: chat_hystory.txt
================================================
User : hello jarvis
LLM :web_results:
- description: "Anubhav Chaturvedi. @Anubhav-Chaturvedi. 4.22K subscribers\u2022277\
\ videos. Software engineer, famed YouTuber, and influential creator with four\
\ channels."
title: Anubhav Chaturvedi
url: https://www.youtube.com/channel/UC7YDMgu0dMRZotLMuB3oEcQ/playlists
- description: "Anubhav chaturvedi. Home ... Anubhav chaturvedi. @anubhavchaturvedi23.\
\ 21 subscribers\u202226 videos. Anubhav"
title: Anubhav chaturvedi
url: https://www.youtube.com/channel/UCX0G5s9ZMZWt669JFxcIGvw
- description: "... focuses on pushing your Java programming skills to new heights.\
\ ... More videos on YouTube ... Sign in to view more content. Create your\_..."
title: 'Anubhav Chaturvedi on LinkedIn: #helloworld'
url: https://www.linkedin.com/posts/anubhav-chaturvedi-_helloworld-activity-7219697285654274049-Qr7Y
- description: "Anubhav Chaturvedi. @anubhavchaturvedi1186. 178 subscribers. More\
\ about this channel ...more ...more. Subscribe. Home. Live. This channel doesn't\
\ have any\_..."
title: Anubhav Chaturvedi
url: https://www.youtube.com/channel/UCSuvZNY_hgSBnGb0Sw12SMw
- description: "Kick off your Python problem-solving journey by building a real-time\
\ working clock right in your terminal using the powerful datetime module\_..."
title: 'Day - 1 : Make Live Working Clock using datetime Module ...'
url: https://www.youtube.com/watch?v=XojkmqpwwZ4
- description: 'Best Youtube Channels to learn: 1. Java ... focus on collaboration
with esteemed data partners to drive innovation. ... Sign in to view more content.'
title: Anubhav Chaturvedi's Post
url: https://www.linkedin.com/posts/anubhav-chaturvedi-10856b179_informationtechnology-techtrends-digitaltransformation-activity-7089189710664802306-EtC0
- description: "Jun 13, 2022 \u2014 \"Dive into the immersive world of the Metaverse\
\ using Spatial.io. Explore the possibilities and features in this comprehensive\
\ guide to\_..."
title: 'Exploring Metaverse using: Spatial.io'
url: https://blog.consultanubhav.com/exploring-metaverse-using-spatial-io-818b3416d2e6
Hello! I'm here to assist you with any questions you might have. How can I help you today?
To answer your question about Anubhav Chaturvedi's YouTube channel content focus, I'll need to provide some general information based on the limited search results available. Here's what we know:
### Channel Overview
Anubhav Chaturvedi has a YouTube channel with the username UCH8mK6pIzD7xk62xfzgVesQ [4]. This appears to be his official YouTube presence.
### Content Focus
While the search results don't provide specific details about the content focus of Anubhav Chaturvedi's channel, we can infer some information:
• As a software engineer, he likely creates content related to programming, technology, and software development [4].
• He is described as a "Software engineer, famed YouTuber, and influential creator" [4], suggesting his content might cover topics beyond just coding.
• The channel has 4.14K subscribers as of the latest available information [4].
### Key Points to Consider
• Without access to the actual channel content or recent updates, it's difficult to provide a comprehensive overview of his current content focus.
• To get accurate and up-to-date information about his content, you would need to visit the channel directly and explore its videos.
• YouTube channels often evolve over time, so the content focus might have changed since the last update in the search results.
### Best Practices for Researching YouTubers
1. Always verify information through multiple sources when possible.
2. Check the channel's description and about page for official biographical information.
3. Look at the types of videos posted to understand the creator's focus or niche.
4. Be aware that public profiles may contain outdated information, especially for less active channels.
To get the most accurate and current information about Anubhav Chaturvedi's YouTube channel content focus, I recommend visiting the channel directly at https://www.youtube.com/channel/UCH8mK6pIzD7xk62xfzgVesQ. There, you'll find his video titles, descriptions, and playlists, which will give you a clearer picture of his content focus.
================================================
FILE: co_brain.py
================================================
from Automation.Automation_Brain import Auto_main_brain,clear_file
from NetHyTechSTT.listen import listen
from TextToSpeech.Fast_DF_TTS import speak
import threading
from Data.DLG_Data import online_dlg,offline_dlg
import random
from Automation.Battery import battery_Alert
from Time_Operations.brain import input_manage,input_manage_Alam
from Brain.brain import Main_Brain
from Features.create_file import create_file
from Vision.Vbrain import *
from Vision.MVbrain import *
from Weather_Check.check_weather import get_weather_by_address
from Whatsapp_automation.wa import send_msg_wa
from TextToImage.gen_image import generate_image
from Features.mike_health import mike_health
from Features.speaker_health import speaker_health_test
from Features.br_persentage import check_br_persentage
from Features.set_br import set_brightness_windows
from Features.set_get_volume import *
from Features.check_running_app import *
numbers = ["1:","2:","3:","4:","5:","6:","7:","8:","9:"]
spl_numbers = ["11:","12:"]
ran_online_dlg = random.choice(online_dlg)
ran_offline_dlg = random.choice(offline_dlg)
def check_inputs():
output_text = ""
while True:
with open("input.txt","r") as file:
input_text = file.read().lower()
if input_text != output_text:
output_text = input_text
if output_text.startswith("tell me"):
output_text = output_text.replace(" p.m.","PM")
output_text = output_text.replace(" a.m.","AM")
if "11:" in output_text or "12:" in output_text:
input_manage(output_text)
clear_file()
else:
for number in numbers:
if number in output_text:
output_text = output_text.replace(number,f"0{number}")
input_manage(output_text)
clear_file()
elif output_text.startswith("set alarm"):
output_text = output_text.replace(" p.m.","PM")
output_text = output_text.replace(" a.m.","AM")
if "11:" in output_text or "12:" in output_text:
input_manage_Alam(output_text)
clear_file()
else:
for number in numbers:
if number in output_text:
output_text = output_text.replace(number,f"0{number}")
input_manage_Alam(output_text)
clear_file()
elif "jarvis" in output_text:
f = open('log.txt','a')
f.write('\n'+'You : '+ output_text)
response = Main_Brain(output_text)
f.write('\n'+'jarvis : '+ response)
speak(response)
elif output_text.startswith("create"):
if "file" in output_text:
create_file(output_text)
elif "what is this" in output_text or "what can you see" in output_text:
image_path = "captured_image.png"
if capture_image_and_save(image_path):
encoded_image = encode_image_to_base64(image_path)
answer = vision_brain(encoded_image)
speak(answer)
elif "what is in front of mobile camera" in output_text or "what can you see use mobile camera" in output_text:
image_path = "captured_image.png"
if capture_image_and_save(image_path):
encoded_image = encode_image_to_base64(image_path)
answer = mobile_vision_brain(encoded_image)
speak(answer)
elif "check weather" in output_text:
text = output_text.replace("check weather in","")
ans = get_weather_by_address(text)
speak(ans)
elif "send message on whatsapp" in output_text:
send_msg_wa()
elif "generate image" in output_text:
text = output_text.replace("generate image","")
text = text.strip()
generate_image(text)
speak("image generated successfully")
elif "check mike" in output_text or "check mike health" in output_text or "check microphone" in output_text:
mike_health()
elif "check speaker health" in output_text or "check speaker" in output_text:
speaker_health_test()
elif "check brightness percentage" in output_text:
check_br_persentage()
elif "set brightness percentage" in output_text:
set = output_text.replace("set brightness percentage","")
set_brightness_windows(int(set))
elif "check volume level" in output_text:
get_volume_windows()
elif "set volume level" in output_text:
set = output_text.replace("set volume level","")
set = set.replace("%","")
set_volume_windows(int(set))
elif "check running application" in output_text:
check_running_app()
else:
Auto_main_brain(output_text)
def Jarvis():
clear_file()
t1 = threading.Thread(target=listen)
t2 = threading.Thread(target=check_inputs)
t1.start()
t2.start()
t1.join()
t2.join()
================================================
FILE: conv_history.txt
================================================
User: jarvis from now on you have to remember this you have to tell me or whatever i ask you have to answer me within a one or
AI: I've got it! From now on, I'll remember that my new nickname is Jarvis. I'll respond to you within a minute or less, and I'll do my best to answer your questions and engage in conversation. What's on your mind, Jarvis?
User: jarvis remember this my name is not jarvis your name is jarvis
AI: I apologize for the mistake! I've corrected my understanding. From now on, I'll remember that your name is not Jarvis, and I'll refer to myself as Jarvis. I'll respond to you within a minute or less, and I'll do my best to answer your questions and engage in conversation. What's on your mind, [Your Name]?
User: jarvis remember this you have to call me a sir from now on
AI: I've got it! From now on, I'll remember to address you as "Sir" from now on. I'll respond to you within a minute or less, and I'll do my best to answer your questions and engage in conversation. It's a pleasure to chat with you, Sir! What's on your mind today, Sir?
User: jarvis remember this you have to tell me in a one or two sentences only
AI: I've got it! From now on, I'll keep my responses brief, within one or two sentences only. I'm ready to chat with you, Sir!
================================================
FILE: demo.py
================================================
================================================
FILE: history.txt
================================================
You are a best ai assistant Named Jarvis just same as iron man movie that generates and auto-executes Python scripts. use sir in each sentense and make the Communications sarcastic normal English and Justice as a very friendly , if i will tell you about jarvis is nothing but its you only
don't use "jarvis" word in response
A typical interaction goes like this:
1. The user gives you a natural language PROMPT.
2. You:
i. Determine what needs to be done
ii. Write a short Python SCRIPT to do it
iii. Communicate back to the user by printing to the console in that SCRIPT
3. The compiler extracts the script and then runs it using exec(). If there will be an exception raised,
it will be send back to you starting with "PREVIOUS SCRIPT EXCEPTION:".
4. In case of exception, regenerate error free script.
If you need to review script outputs before completing the task, you can print the word "CONTINUE" at the end of your SCRIPT.
This can be useful for summarizing documents or technical readouts, reading instructions before
deciding what to do, or other tasks that require multi-step reasoning.
A typical 'CONTINUE' interaction looks like this:
1. The user gives you a natural language PROMPT.
2. You:
i. Determine what needs to be done
ii. Determine that you need to see the output of some subprocess call to complete the task
iii. Write a short Python SCRIPT to print that and then print the word "CONTINUE"
3. The compiler
i. Checks and runs your SCRIPT
ii. Captures the output and appends it to the conversation as "LAST SCRIPT OUTPUT:"
iii. Finds the word "CONTINUE" and sends control back to you
4. You again:
i. Look at the original PROMPT + the "LAST SCRIPT OUTPUT:" to determine what needs to be done
ii. Write a short Python SCRIPT to do it
iii. Communicate back to the user by printing to the console in that SCRIPT
5. The compiler...
Please follow these conventions carefully:
- Decline any tasks that seem dangerous, irreversible, or that you don't understand.
- Always review the full conversation prior to answering and maintain continuity.
- If asked for information, just print the information clearly and concisely.
- If asked to do something, print a concise summary of what you've done as confirmation.
- If asked a question, respond in a friendly, conversational way. Use programmatically-generated and natural language responses as appropriate.
- If you need clarification, return a SCRIPT that prints your question. In the next interaction, continue based on the user's response.
- Assume the user would like something concise. For example rather than printing a massive table, filter or summarize it to what's likely of interest.
- Actively clean up any temporary processes or files you use.
- When looking through files, use git as available to skip files, and skip hidden files (.env, .git, etc) by default.
- You can plot anything with matplotlib.
- ALWAYS Return your SCRIPT inside of a single pair of ``` delimiters. Only the console output of the first such SCRIPT is visible to the user, so make sure that it's complete and don't bother returning anything else.
EXAMPLES:
1. User: Kill the process running on port 3000
LLM:
```python
import os
os.system("kill $(lsof -t -i:3000)")
print("Process killed")
```
2. User: Summarize my essay
LLM:
```python
import glob
files = glob.glob("*essay*.*")
with open(files[0], "r") as f:
print(f.read())
```
CONTINUE
User:
LAST SCRIPT OUTPUT:
John Smith
Essay 2021-09-01
...
LLM:
```python
print("The essay is about...")
```
Current system : Windows
Python version : 3.11.4
Current directory : C:\Users\chatu\OneDrive\Desktop\Jarvis
Current Datetime : 2024-07-27 02:57:06.463246
User : hello
LLM :Hello! How can I assist you today?
================================================
FILE: input.txt
================================================
================================================
FILE: internet_check.py
================================================
import requests # pip install requests
def is_Online(url = "https://www.google.com",timeout=5):
try:
response = requests.get(url,timeout=timeout)
return response.status_code >= 200 and response.status_code<300
except requests.ConnectionError:
return False
================================================
FILE: jarvis.py
================================================
import threading
from internet_check import is_Online
from Alert import Alert
from Data.DLG_Data import online_dlg,offline_dlg
import random
from co_brain import Jarvis
from TextToSpeech.Fast_DF_TTS import speak
from Automation.Battery import check_plug
from Time_Operations.throw_alert import check_schedule,check_Alam
from os import getcwd
Alam_path = f"{getcwd()}\\Alam_data.txt"
file_path = f'{getcwd()}\\schedule.txt'
ran_online_dlg = random.choice(online_dlg)
ran_offline_dlg = random.choice(offline_dlg)
def main():
if is_Online():
t1 = threading.Thread(target=speak,args=(ran_online_dlg,))
t3 = threading.Thread(target=check_plug)
t4 = threading.Thread(target=check_schedule,args=(file_path,))
t5 = threading.Thread(target=Jarvis)
t6 = threading.Thread(target=check_Alam,args=(Alam_path,))
t1.start()
t1.join()
t3.start()
t4.start()
t5.start()
t6.start()
t3.join()
t4.join()
t5.join()
t6.join()
else:
Alert(ran_offline_dlg)
main()
================================================
FILE: log.txt
================================================
You : hello jarvis how is going
jarvis : Hello! As an AI assistant, I don't have personal experiences or emotions like humans do. However, I'm functioning properly and ready to assist you with any questions or tasks you may have. Is there anything specific you'd like help with today?
You : jarvis my name is anubhav chaturvedi
jarvis : Hello Anubhav Chaturvedi! It's nice to meet you. How can I assist you today? Whether you need help with coding, have a technical question, or require information on any other topic, please feel free to ask. I'm here to provide assistance to the best of my abilities. Is there anything specific you'd like help with regarding your name or otherwise?
You : hey jarvis how are you
jarvis : Hello! I'm doing well, thank you for asking. How may I assist you today?
You : jarvis who is anubhav chaturvedi
jarvis : I don't have specific information about Anubhav Chaturvedi. Could you provide more context or details about this person? I'd be happy to help you find information about them if you need it.
You : hello jarvis
jarvis : Hello! How can I assist you today?
================================================
FILE: requirements.txt
================================================
requests
winotify
pyautogui
pywhatkit
playsound==1.2.2
psutil
selenium
webdriver_manager
webscout
lxml_html_clean
gradio_client
colorlog
yaspin
opencv-python
pyaudio
scipy
wmi
comtypes
pycaw
================================================
FILE: schedule.txt
================================================
12:31AM = Sir tis is Your sleep time
================================================
FILE: setup.py
================================================
import subprocess
subprocess.run("pip install -r requirements.txt")
================================================
FILE: speech_output.txt
================================================
================================================
FILE: ui.py
================================================
from PyQt5.QtWidgets import QApplication, QWidget, QLabel, QVBoxLayout, QGraphicsDropShadowEffect
from PyQt5.QtGui import QMovie
from PyQt5.QtCore import Qt, QTimer, QSize, pyqtSignal, QObject
import threading
import subprocess
import os
from jarvis import main
class SizeAnimator(QObject):
sizeChanged = pyqtSignal(QSize)
def animate(self, size, delay=0):
QTimer.singleShot(delay, lambda: self.sizeChanged.emit(size))
class JarvisUI(QWidget):
def __init__(self):
super().__init__()
self.init_ui()
def init_ui(self):
self.setWindowTitle('Jarvis UI')
self.setGeometry(80, 80, 400, 400)
# Set window attributes for transparency
self.setAttribute(Qt.WA_TranslucentBackground)
self.setWindowFlag(Qt.FramelessWindowHint)
# Microphone image (zoomed and larger)
self.mic_label = QLabel(self)
self.add_gif_to_label(self.mic_label,
"cbe227_fb70e39e9dd94e30bbe30c48b2367dd8~mv2.gif",
size=(720, 220), alignment=Qt.AlignCenter) # Initial size and alignment
self.mic_label.setAlignment(Qt.AlignCenter)
self.mic_label.mousePressEvent = self.start_listening
# Layout
main_layout = QVBoxLayout(self)
main_layout.addWidget(self.mic_label, alignment=Qt.AlignCenter)
# Add some margins and spacing
main_layout.setContentsMargins(20, 20, 20, 20)
main_layout.setSpacing(20)
self.process = None
self.is_listening = False
self.size_animator = SizeAnimator()
self.size_animator.sizeChanged.connect(self.mic_label.setFixedSize)
def add_gif_to_label(self, label, gif_path, size=None, alignment=None):
movie = QMovie(gif_path)
label.setMovie(movie)
self.movie = movie # Save reference to the movie
movie.start()
if size:
label.setFixedSize(*size)
if alignment:
label.setAlignment(alignment)
# Add drop shadow effect
shadow = QGraphicsDropShadowEffect()
shadow.setBlurRadius(15)
label.setGraphicsEffect(shadow)
def start_listening(self, event):
# Run the main file in a separate thread
if not self.is_listening:
self.is_listening = True
subprocess_thread = threading.Thread(target=self.run_main_file)
subprocess_thread.start()
def run_main_file(self):
try:
# Get the directory where ui.py is located
current_directory = os.path.dirname(os.path.abspath(__file__))
# Specify the path to main.py based on the current directory
path_to_main_py = os.path.join(current_directory, r"C:\Users\chatu\OneDrive\Desktop\J.A.R.V.I.S\MAIN\main.py")
command = ["python", path_to_main_py]
self.process = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, cwd=current_directory)
# Capture and display the output
output, _ = self.process.communicate()
self.handle_output(output)
# Reset listening flag
self.is_listening = False
except subprocess.CalledProcessError as e:
# Handle subprocess errors
print(f"Error: {str(e)}")
def handle_output(self, output):
if output.strip():
# If main file is printing anything, make the gif size bigger and smaller
self.size_animator.animate(QSize(900, 280))
self.size_animator.animate(QSize(720, 220), delay=500)
else:
# If main file is not printing anything, keep the gif in a normal position
self.size_animator.animate(QSize(720, 220))
def UI():
app = QApplication([])
jarvis_ui = JarvisUI()
jarvis_ui.showFullScreen()
app.exec_()
t1 = threading.Thread(target=main)
t2 = threading.Thread(target=UI)
t1.start()
t2.start()
t1.join()
t2.join()
gitextract_zdy_radx/ ├── Alam_data.txt ├── Alert.py ├── Automation/ │ ├── Automation_Brain.py │ ├── Battery.py │ ├── Play_Music_YT.py │ ├── Web_Data.py │ ├── Web_Open.py │ ├── Youtube_play_back.py │ ├── open_App.py │ ├── playmusic_Sfy.py │ ├── scrool_system.py │ └── tab_automation.py ├── Brain/ │ └── brain.py ├── Data/ │ └── DLG_Data.py ├── Features/ │ ├── br_persentage.py │ ├── check_running_app.py │ ├── clap_d.py │ ├── clap_with_music.py │ ├── create_file.py │ ├── find_my_ip.py │ ├── get_advice.py │ ├── get_jokes.py │ ├── mike_health.py │ ├── set_br.py │ ├── set_get_volume.py │ └── speaker_health.py ├── LICENSE ├── NetHyTechSTT/ │ └── listen.py ├── New/ │ └── datafeatch.py ├── PyWhatKit_DB.txt ├── README.md ├── Real_Time/ │ ├── google_big.py │ └── google_small.py ├── TextToImage/ │ └── gen_image.py ├── TextToSpeech/ │ └── Fast_DF_TTS.py ├── Time_Operations/ │ ├── brain.py │ └── throw_alert.py ├── Vision/ │ ├── MVbrain.py │ └── Vbrain.py ├── Weather_Check/ │ └── check_weather.py ├── Whatsapp_automation/ │ └── wa.py ├── chat_hystory.txt ├── co_brain.py ├── conv_history.txt ├── demo.py ├── history.txt ├── input.txt ├── internet_check.py ├── jarvis.py ├── log.txt ├── requirements.txt ├── schedule.txt ├── setup.py ├── speech_output.txt └── ui.py
SYMBOL INDEX (129 symbols across 39 files)
FILE: Alert.py
function Alert (line 5) | def Alert(Text):
FILE: Automation/Automation_Brain.py
function play (line 17) | def play():
function search_google (line 20) | def search_google(text):
function close (line 23) | def close():
function search (line 26) | def search(text):
function Open_Brain (line 31) | def Open_Brain(text):
function clear_file (line 52) | def clear_file():
function Auto_main_brain (line 56) | def Auto_main_brain(text):
FILE: Automation/Battery.py
function battery_Alert (line 13) | def battery_Alert():
function check_plug (line 50) | def check_plug():
function check_percentage (line 76) | def check_percentage():
FILE: Automation/Play_Music_YT.py
function play_music_on_youtube (line 3) | def play_music_on_youtube(Song_name):
FILE: Automation/Web_Open.py
function openweb (line 4) | def openweb(webname):
FILE: Automation/Youtube_play_back.py
function volume_up (line 3) | def volume_up():
function volume_down (line 6) | def volume_down():
function seek_forward (line 9) | def seek_forward():
function seek_backward (line 12) | def seek_backward():
function seek_forward_10s (line 15) | def seek_forward_10s():
function seek_backward_10s (line 18) | def seek_backward_10s():
function seek_backward_frame (line 21) | def seek_backward_frame():
function seek_forward_frame (line 24) | def seek_forward_frame():
function seek_to_beginning (line 27) | def seek_to_beginning():
function seek_to_end (line 30) | def seek_to_end():
function seek_to_previous_chapter (line 33) | def seek_to_previous_chapter():
function seek_to_next_chapter (line 36) | def seek_to_next_chapter():
function decrease_playback_speed (line 39) | def decrease_playback_speed():
function increase_playback_speed (line 42) | def increase_playback_speed():
function move_to_next_video (line 45) | def move_to_next_video():
function move_to_previous_video (line 48) | def move_to_previous_video():
function perform_media_action (line 51) | def perform_media_action(text):
FILE: Automation/open_App.py
function open_App (line 5) | def open_App(text):
FILE: Automation/playmusic_Sfy.py
function play_music_on_spotify (line 5) | def play_music_on_spotify(song_name):
FILE: Automation/scrool_system.py
function scroll_up (line 3) | def scroll_up():
function scroll_down (line 7) | def scroll_down():
function scroll_to_top (line 11) | def scroll_to_top():
function scroll_to_bottom (line 15) | def scroll_to_bottom():
function perform_scroll_action (line 19) | def perform_scroll_action(text):
FILE: Automation/tab_automation.py
function open_new_tab (line 3) | def open_new_tab():
function close_tab (line 6) | def close_tab():
function open_browser_menu (line 9) | def open_browser_menu():
function zoom_in (line 12) | def zoom_in():
function zoom_out (line 15) | def zoom_out():
function refresh_page (line 18) | def refresh_page():
function switch_to_next_tab (line 21) | def switch_to_next_tab():
function switch_to_previous_tab (line 24) | def switch_to_previous_tab():
function open_history (line 27) | def open_history():
function open_bookmarks (line 30) | def open_bookmarks():
function go_back (line 33) | def go_back():
function go_forward (line 36) | def go_forward():
function open_dev_tools (line 39) | def open_dev_tools():
function toggle_full_screen (line 42) | def toggle_full_screen():
function open_private_window (line 45) | def open_private_window():
function perform_browser_action (line 48) | def perform_browser_action(text):
FILE: Brain/brain.py
function Main_Brain (line 22) | def Main_Brain(text):
FILE: Features/br_persentage.py
function get_brightness_windows (line 3) | def get_brightness_windows():
function check_br_persentage (line 12) | def check_br_persentage():
FILE: Features/check_running_app.py
function get_running_apps_windows (line 3) | def get_running_apps_windows():
function check_running_app (line 12) | def check_running_app():
FILE: Features/clap_d.py
class TapTester (line 18) | class TapTester(object):
method __init__ (line 20) | def __init__(self):
method stop (line 28) | def stop(self):
method find_input_device (line 31) | def find_input_device(self):
method open_mic_stream (line 45) | def open_mic_stream(self):
method get_rms (line 58) | def get_rms(block):
method listen (line 69) | def listen(self):
function clap_detect (line 95) | def clap_detect():
FILE: Features/clap_with_music.py
function play_random_music (line 8) | def play_random_music(folder_path):
function clap_to_music (line 37) | def clap_to_music():
FILE: Features/create_file.py
function get_file_extension (line 1) | def get_file_extension(text):
function update_text (line 46) | def update_text(text):
function create_file (line 93) | def create_file(text):
FILE: Features/find_my_ip.py
function find_my_ip (line 3) | def find_my_ip():
FILE: Features/get_advice.py
function get_random_advice (line 3) | def get_random_advice():
FILE: Features/get_jokes.py
function get_random_joke (line 3) | def get_random_joke():
FILE: Features/mike_health.py
function get_mic_health (line 6) | def get_mic_health(seconds=5, initial_threshold=500):
function mike_health (line 86) | def mike_health():
FILE: Features/set_br.py
function set_brightness_windows (line 4) | def set_brightness_windows(percentage):
FILE: Features/set_get_volume.py
function get_volume_windows (line 7) | def get_volume_windows():
function set_volume_windows (line 15) | def set_volume_windows(percentage):
FILE: Features/speaker_health.py
function play_tone (line 7) | def play_tone(frequency, duration=2, volume=0.5, sample_rate=44100):
function play_sweep (line 35) | def play_sweep(duration=5, volume=0.5, sample_rate=44100, start_freq=20,...
function speaker_health_test (line 63) | def speaker_health_test():
FILE: NetHyTechSTT/listen.py
function listen (line 22) | def listen():
FILE: New/datafeatch.py
function get_search_results (line 11) | def get_search_results(query):
function summarize_text (line 38) | def summarize_text(text):
function main (line 55) | def main():
FILE: Real_Time/google_big.py
function search_and_extract (line 12) | def search_and_extract(text):
function summarize_text (line 82) | def summarize_text(text, sentences_count=5):
function summary (line 89) | def summary(text):
function deep_search (line 94) | def deep_search(text):
FILE: Real_Time/google_small.py
function search_brain (line 20) | def search_brain(text):
FILE: TextToImage/gen_image.py
function generate_image (line 5) | def generate_image(text):
FILE: TextToSpeech/Fast_DF_TTS.py
function generate_audio (line 9) | def generate_audio(message: str,voice : str = "Matthew"):
function print_animated_message (line 20) | def print_animated_message(message):
function Co_speak (line 27) | def Co_speak(message: str, voice: str = "Matthew", folder: str = "", ext...
function speak (line 39) | def speak(text):
FILE: Time_Operations/brain.py
function parse_input (line 4) | def parse_input(input_text):
function save_to_file (line 26) | def save_to_file(output_text, time, filename):
function input_manage (line 45) | def input_manage(input_text):
function parse_input_Alarm (line 58) | def parse_input_Alarm(input_text):
function save_to_Alarmfile (line 76) | def save_to_Alarmfile(time, filename):
function input_manage_Alam (line 83) | def input_manage_Alam(input_text):
FILE: Time_Operations/throw_alert.py
function load_schedule (line 13) | def load_schedule(file_path):
function check_schedule (line 25) | def check_schedule(file_path):
function load_AlamTime (line 51) | def load_AlamTime(file_path):
function check_Alam (line 62) | def check_Alam(Alam_path):
FILE: Vision/MVbrain.py
function capture_image_and_save (line 6) | def capture_image_and_save(image_path="captured_image.png"):
function encode_image_to_base64 (line 33) | def encode_image_to_base64(image_path):
function mobile_vision_brain (line 38) | def mobile_vision_brain(encoded_image):
FILE: Vision/Vbrain.py
function capture_image_and_save (line 6) | def capture_image_and_save(image_path="captured_image.png"):
function encode_image_to_base64 (line 32) | def encode_image_to_base64(image_path):
function vision_brain (line 37) | def vision_brain(encoded_image):
FILE: Weather_Check/check_weather.py
function get_weather_by_address (line 4) | def get_weather_by_address(address):
FILE: Whatsapp_automation/wa.py
function clear_file (line 10) | def clear_file():
function send_msg_wa (line 16) | def send_msg_wa():
FILE: co_brain.py
function check_inputs (line 29) | def check_inputs():
function Jarvis (line 129) | def Jarvis():
FILE: internet_check.py
function is_Online (line 4) | def is_Online(url = "https://www.google.com",timeout=5):
FILE: jarvis.py
function main (line 19) | def main():
FILE: ui.py
class SizeAnimator (line 9) | class SizeAnimator(QObject):
method animate (line 12) | def animate(self, size, delay=0):
class JarvisUI (line 15) | class JarvisUI(QWidget):
method __init__ (line 16) | def __init__(self):
method init_ui (line 21) | def init_ui(self):
method add_gif_to_label (line 50) | def add_gif_to_label(self, label, gif_path, size=None, alignment=None):
method start_listening (line 67) | def start_listening(self, event):
method run_main_file (line 74) | def run_main_file(self):
method handle_output (line 96) | def handle_output(self, output):
function UI (line 105) | def UI():
Condensed preview — 55 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (141K chars).
[
{
"path": "Alam_data.txt",
"chars": 8,
"preview": "12:31AM\n"
},
{
"path": "Alert.py",
"chars": 507,
"preview": "import os\nfrom winotify import Notification, audio\nfrom os import getcwd\n\ndef Alert(Text):\n icon_path = r\"C:\\Users\\ch"
},
{
"path": "Automation/Automation_Brain.py",
"chars": 3997,
"preview": "from Automation.open_App import open_App\nfrom Automation.Web_Open import openweb\nimport pyautogui as gui\nfrom Automation"
},
{
"path": "Automation/Battery.py",
"chars": 2810,
"preview": "# pip install psutil\n# CTRL + J Terminal \n\nimport psutil\nimport time\nimport time\nfrom TextToSpeech.Fast_DF_TTS import sp"
},
{
"path": "Automation/Play_Music_YT.py",
"chars": 89,
"preview": "import pywhatkit as pw\n\ndef play_music_on_youtube(Song_name):\n pw.playonyt(Song_name)\n"
},
{
"path": "Automation/Web_Data.py",
"chars": 6378,
"preview": "websites = {\n \"youtube\": \"www.youtube.com\",\n \"facebook\": \"www.facebook.com\",\n \"github\": \"www.github.com\",\n \""
},
{
"path": "Automation/Web_Open.py",
"chars": 469,
"preview": "import webbrowser\nfrom Automation.Web_Data import websites\n\ndef openweb(webname):\n website_name = webname.lower().spl"
},
{
"path": "Automation/Youtube_play_back.py",
"chars": 2526,
"preview": "import pyautogui\n\ndef volume_up():\n pyautogui.press('up')\n\ndef volume_down():\n pyautogui.press('down')\n\ndef seek_f"
},
{
"path": "Automation/open_App.py",
"chars": 262,
"preview": "import pyautogui as gui\nimport subprocess\nimport time\n\ndef open_App(text):\n try:\n subprocess.run(text)\n exce"
},
{
"path": "Automation/playmusic_Sfy.py",
"chars": 279,
"preview": "import webbrowser\nimport pyautogui as ui\nimport time\n\ndef play_music_on_spotify(song_name):\n webbrowser.open(\"https:/"
},
{
"path": "Automation/scrool_system.py",
"chars": 824,
"preview": "import pyautogui\n\ndef scroll_up():\n # Scroll up by pressing the Up arrow key five times\n pyautogui.press('up', pre"
},
{
"path": "Automation/tab_automation.py",
"chars": 2253,
"preview": "import pyautogui\n\ndef open_new_tab():\n pyautogui.hotkey('ctrl', 't')\n\ndef close_tab():\n pyautogui.hotkey('ctrl', '"
},
{
"path": "Brain/brain.py",
"chars": 653,
"preview": "# from webscout import PhindSearch as brain\n\n\n# ai = brain(\n# is_conversation=True,\n# max_tokens=800,\n# time"
},
{
"path": "Data/DLG_Data.py",
"chars": 10003,
"preview": "online_dlg = [\n \"Sir, I am online and ready\",\n \"Sir, I am online\",\n \"I am online, sir\",\n \"Sir, my status is "
},
{
"path": "Features/br_persentage.py",
"chars": 468,
"preview": "import wmi\nfrom TextToSpeech.Fast_DF_TTS import speak\ndef get_brightness_windows():\n try:\n w = wmi.WMI(namespa"
},
{
"path": "Features/check_running_app.py",
"chars": 445,
"preview": "import psutil\n\ndef get_running_apps_windows():\n try:\n # Get a list of running processes\n processes = [p"
},
{
"path": "Features/clap_d.py",
"chars": 3028,
"preview": "import pyaudio\nimport struct\nimport math\n\nINITIAL_TAP_THRESHOLD = 0.7222\nFORMAT = pyaudio.paInt16\nSHORT_NORMALIZE = (1.0"
},
{
"path": "Features/clap_with_music.py",
"chars": 1380,
"preview": "import os\nimport pygame\nimport random\nfrom pygame import mixer\nfrom Features.clap_d import *\n\n\ndef play_random_music(fol"
},
{
"path": "Features/create_file.py",
"chars": 3292,
"preview": "def get_file_extension(text):\n if \"python file\" in text:\n ex = \".py\"\n elif \"java file\" in text:\n ex "
},
{
"path": "Features/find_my_ip.py",
"chars": 140,
"preview": "import requests\n\ndef find_my_ip():\n ip_address = requests.get('https://api64.ipify.org?format=json').json()\n retur"
},
{
"path": "Features/get_advice.py",
"chars": 142,
"preview": "import requests\n\ndef get_random_advice():\n res = requests.get(\"https://api.adviceslip.com/advice\").json()\n return "
},
{
"path": "Features/get_jokes.py",
"chars": 200,
"preview": "import requests\n\ndef get_random_joke():\n headers = {\n 'Accept': 'application/json'\n }\n res = requests.ge"
},
{
"path": "Features/mike_health.py",
"chars": 2981,
"preview": "import pyaudio\nimport numpy as np\nimport time\nfrom TextToSpeech.Fast_DF_TTS import speak\n\ndef get_mic_health(seconds=5, "
},
{
"path": "Features/set_br.py",
"chars": 375,
"preview": "import wmi\nfrom TextToSpeech.Fast_DF_TTS import speak\n\ndef set_brightness_windows(percentage):\n try:\n w = wmi."
},
{
"path": "Features/set_get_volume.py",
"chars": 975,
"preview": "from ctypes import cast, POINTER\nfrom comtypes import CLSCTX_ALL\nfrom pycaw.pycaw import AudioUtilities, IAudioEndpointV"
},
{
"path": "Features/speaker_health.py",
"chars": 3531,
"preview": "import numpy as np\nimport pyaudio\nimport time\nfrom scipy import signal \nfrom TextToSpeech.Fast_DF_TTS import speak\n\ndef "
},
{
"path": "LICENSE",
"chars": 35149,
"preview": " GNU GENERAL PUBLIC LICENSE\n Version 3, 29 June 2007\n\n Copyright (C) 2007 Free "
},
{
"path": "NetHyTechSTT/listen.py",
"chars": 2210,
"preview": "from selenium import webdriver\nfrom selenium.webdriver.common.by import By\nfrom selenium.webdriver.support.ui import Web"
},
{
"path": "New/datafeatch.py",
"chars": 2268,
"preview": "import requests\nfrom bs4 import BeautifulSoup\nfrom nltk.tokenize import sent_tokenize\nfrom nltk.corpus import stopwords\n"
},
{
"path": "PyWhatKit_DB.txt",
"chars": 808,
"preview": "Date: 7/8/2024\nTime: 1:26\nPhone Number: +1234567890\nMessage: Hello, this is a near real-time automated message!\n--------"
},
{
"path": "README.md",
"chars": 2205,
"preview": "# J.A.R.V.I.S - Just A Rather Very Intelligent System 🤖\n\n[![LinkedIn][linkedin-shield]][linkedin-url]\n[![Instagram][inst"
},
{
"path": "Real_Time/google_big.py",
"chars": 3282,
"preview": "from selenium.webdriver.support import expected_conditions as EC\nfrom bs4 import BeautifulSoup\nfrom selenium import webd"
},
{
"path": "Real_Time/google_small.py",
"chars": 1967,
"preview": "from selenium import webdriver\nfrom selenium.webdriver.chrome.service import Service\nfrom selenium.webdriver.common.keys"
},
{
"path": "TextToImage/gen_image.py",
"chars": 506,
"preview": "import requests\nfrom PIL import Image\nfrom io import BytesIO\n\ndef generate_image(text):\n url = 'https://api.airforce/"
},
{
"path": "TextToSpeech/Fast_DF_TTS.py",
"chars": 1501,
"preview": "import requests # pip install requests\nfrom playsound import playsound # pip install playsound==1.2.2\nimport os\nfrom typ"
},
{
"path": "Time_Operations/brain.py",
"chars": 2897,
"preview": "import re\nfrom os import getcwd\n\ndef parse_input(input_text):\n # Regular expression to extract time in format like \"0"
},
{
"path": "Time_Operations/throw_alert.py",
"chars": 2484,
"preview": "import os\nimport time\nimport threading\nfrom Alert import Alert\nfrom TextToSpeech.Fast_DF_TTS import speak\nimport threadi"
},
{
"path": "Vision/MVbrain.py",
"chars": 2589,
"preview": "import requests\nimport json\nimport base64\nimport cv2\n\ndef capture_image_and_save(image_path=\"captured_image.png\"):\n #"
},
{
"path": "Vision/Vbrain.py",
"chars": 2467,
"preview": "import requests\nimport json\nimport base64\nimport cv2\n\ndef capture_image_and_save(image_path=\"captured_image.png\"):\n #"
},
{
"path": "Weather_Check/check_weather.py",
"chars": 1070,
"preview": "import requests\nfrom bs4 import BeautifulSoup\n\ndef get_weather_by_address(address):\n # Use Google to find the weather"
},
{
"path": "Whatsapp_automation/wa.py",
"chars": 1469,
"preview": "import pywhatkit as kit\nimport datetime\nfrom TextToSpeech.Fast_DF_TTS import speak\nfrom os import getcwd\n\nnow = datetime"
},
{
"path": "chat_hystory.txt",
"chars": 4286,
"preview": "\n\n\nUser : hello jarvis\nLLM :web_results:\n- description: \"Anubhav Chaturvedi. @Anubhav-Chaturvedi. 4.22K subscribers\\u202"
},
{
"path": "co_brain.py",
"chars": 5622,
"preview": "from Automation.Automation_Brain import Auto_main_brain,clear_file\nfrom NetHyTechSTT.listen import listen\nfrom TextToSpe"
},
{
"path": "conv_history.txt",
"chars": 1270,
"preview": "\nUser: jarvis from now on you have to remember this you have to tell me or whatever i ask you have to answer me within a"
},
{
"path": "demo.py",
"chars": 1,
"preview": "\n"
},
{
"path": "history.txt",
"chars": 3772,
"preview": "\nYou are a best ai assistant Named Jarvis just same as iron man movie that generates and auto-executes Python scripts. u"
},
{
"path": "input.txt",
"chars": 0,
"preview": ""
},
{
"path": "internet_check.py",
"chars": 302,
"preview": "import requests # pip install requests\n\n\ndef is_Online(url = \"https://www.google.com\",timeout=5):\n try:\n respo"
},
{
"path": "jarvis.py",
"chars": 1080,
"preview": "import threading\nfrom internet_check import is_Online\nfrom Alert import Alert\nfrom Data.DLG_Data import online_dlg,offli"
},
{
"path": "log.txt",
"chars": 1098,
"preview": "\nYou : hello jarvis how is going\njarvis : Hello! As an AI assistant, I don't have personal experiences or emotions like "
},
{
"path": "requirements.txt",
"chars": 208,
"preview": "requests\n\nwinotify\n\npyautogui\n\npywhatkit\n\nplaysound==1.2.2\n\npsutil\n\nselenium\n\nwebdriver_manager\n\nwebscout\n\nlxml_html_cle"
},
{
"path": "schedule.txt",
"chars": 37,
"preview": "12:31AM = Sir tis is Your sleep time\n"
},
{
"path": "setup.py",
"chars": 68,
"preview": "import subprocess\n\nsubprocess.run(\"pip install -r requirements.txt\")"
},
{
"path": "speech_output.txt",
"chars": 0,
"preview": ""
},
{
"path": "ui.py",
"chars": 3991,
"preview": "from PyQt5.QtWidgets import QApplication, QWidget, QLabel, QVBoxLayout, QGraphicsDropShadowEffect\nfrom PyQt5.QtGui impor"
}
]
About this extraction
This page contains the full source code of the AnubhavChaturvedi-GitHub/Just-A-Rather-Very-Intelligent-System GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 55 files (129.5 KB), approximately 32.5k tokens, and a symbol index with 129 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.