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AI.py
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import pyttsx3 #Python Text To Speech module to read inputs from the users.
import speech_recognition as sr
import pyaudio
import datetime
import wikipedia
import webbrowser
import os
engine = pyttsx3.init('sapi5')
voices = engine.getProperty('voices')
engine.setProperty('voice', voices[0].id)
def speak(audio):
engine.say(audio)
engine.runAndWait()
def wishMe():
hour = int(datetime.datetime.now().hour)
if hour >= 0 and hour < 12:
speak("Good Morning sir!")
elif hour >= 12 and hour < 16:
speak("Good Afternoon sir!")
else:
speak("Good Evening sir!")
speak('I am Morris. Please tell me. How may I help you?')
def takeCommand():
# It takes microphone input from the user and returns string output
r = sr.Recognizer()
with sr.Microphone() as source:
print("Listening...")
# listen for 5 seconds and calculate the ambient noise energy level
r.adjust_for_ambient_noise(source, duration=5)
r.energy_threshold = 4000
r.dynamic_energy_threshold = True
r.pause_threshold = 1
audio = r.listen(source)
try:
print("Recognizing...")
query = r.recognize_google(audio, language="en-in")
print(f"User said: {query}\n")
except Exception as e:
print(e)
print("Say that again please...")
return "None"
return query
if __name__ == "__main__":
wishMe()
while True:
# if 1:
query = takeCommand().lower()
# Logic for executing tasks based on query
if 'wikipedia' in query:
speak('Searching Wikipedia...')
query = query.replace('wikipedia', '')
results = wikipedia.summary(query, sentences=2)
speak('According to Wikipedia')
# print(results)
speak(results)
elif 'open youtube' in query:
webbrowser.open('youtube.com')
elif 'open Google' in query:
webbrowser.open('google.com')
elif 'open stackoverflow' in query:
webbrowser.open('stackoverflow.com')
elif 'play music' in query:
music_dir = 'C:\\Users\\pro tricks\\Music\\Trap'
songs = os.listdir(music_dir)
print(songs)
os.startfile(os.path.join(music_dir, songs[0]))
elif 'time' in query:
strTime = datetime.datetime.now().strftime("%H:%M:%S")
speak(f"Sir, the time is {strTime}")