import speech_recognition as sr

def listen_for_wake_word(wake_word="assistant"):
    recognizer = sr.Recognizer()
    with sr.Microphone() as source:
        print(f"Say '{wake_word}' to activate.")
        audio = recognizer.listen(source)
        try:
            text = recognizer.recognize_google(audio).lower()
            if wake_word in text:
                print("Wake word detected!")
        except sr.UnknownValueError:
            print("Could not understand audio.")

listen_for_wake_word()
            

def get_user_input():
    recognizer = sr.Recognizer()
    with sr.Microphone() as source:
        print("Listening for your command...")
        audio = recognizer.listen(source)
        try:
            text = recognizer.recognize_google(audio)
            print(f"You said: {text}")
            return text
        except sr.UnknownValueError:
            print("Sorry, I couldn't understand.")
            return None

command = get_user_input()
            

from gtts import gTTS
import os

def speak(text):
    tts = gTTS(text=text, lang='en')
    tts.save("response.mp3")
    os.system("start response.mp3")  # Use 'xdg-open' on Linux or 'open' on Mac

speak("Hello! How can I assist you today?")
            

import time

def handle_command(command):
    if "time" in command:
        current_time = time.strftime("%H:%M:%S")
        print(f"The current time is {current_time}")
        speak(f"The current time is {current_time}")
    elif "reminder" in command:
        print("Sure, what should I remind you about?")
        speak("Sure, what should I remind you about?")
    else:
        print("I can't do that yet!")
        speak("I can't do that yet!")

command = get_user_input()
if command:
    handle_command(command)
            

import webbrowser

def search_web(query):
    webbrowser.open(f"https://www.google.com/search?q={query}")

search_web("Python tutorials")
            

import requests

def get_weather(city):
    api_key = "your_api_key_here"
    url = f"http://api.openweathermap.org/data/2.5/weather?q={city}&appid={api_key}"
    response = requests.get(url)
    data = response.json()
    if data["cod"] == 200:
        print(f"The weather in {city} is {data['weather'][0]['description']}")
    else:
        print("City not found.")

get_weather("New York")
            

# Example: Sentiment Analysis using TextBlob
from textblob import TextBlob

# Sample text
text = "I love NLP, it's amazing!"

# Analyze sentiment
blob = TextBlob(text)
sentiment = blob.sentiment.polarity

# Determine sentiment category
if sentiment > 0:
    print("Sentiment: Positive")
elif sentiment < 0:
    print("Sentiment: Negative")
else:
    print("Sentiment: Neutral")
            

# Example: Spell check using pyspellchecker
from spellchecker import SpellChecker

# Initialize spell checker
spell = SpellChecker()

# Sample text with spelling errors
text = "Thiss is an exampel of spell cheking."

# Split text into words
words = text.split()

# Correct spelling
corrected_text = " ".join([spell.correction(word) for word in words])
print(f"Corrected text: {corrected_text}")