Virtual-Assistant/test1.py at master · mani1soni/Virtual-Assistant · GitHub

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#!/usr/bin/python3
import speech_recognition as sr
import numpy as np
import pyttsx3, os, time, datetime, cv2, urllib, urllib.parse, pafy, webbrowser

from nltk.corpus import wordnet
from fun import tts, sentiment_Analyzer, camera, word_def_ex, Video_Search, Search_Anything, bot_help
from textblob import TextBlob
from textblob.classifiers import NaiveBayesClassifier

with open('document.json', 'r') as fp:
    cl = NaiveBayesClassifier(fp, format="json")


engine = pyttsx3.init()
g = ('greetings')
x = ('photo')
y = ('sentiment_analysis')
z = ('word_definition')
p = ('video')
s = ('search')
h = ('help')
q = ('quit')


class CustomSource(sr.Microphone):
    def init(self, device_index=None, sample_rate=16000, chunk_size=1024):
        print("about to initialize microphone")
        result = super(self.__class__, self).init()
        print("done initializing microphone")
        return result


class CustomRecognizer(sr.Recognizer):
    def listen(self, source, timeout=20):
        # print ("instructions!!! \n")
        time.sleep(0.6)
        # print ("say 'take picture' for clicking a picture")
        # print("say 'analysis' for sentence analysis")
        # print ("say 'definition' for word's definition")
        # print ("say 'video' for playing video")
        # print("say 'search' for search anything")
        # print("OR....")
        #	print("speak a valid command \n !!Caution expert pronunciation Required ")
        # time.sleep(1)
        print("starting listening")
        result = super(self.__class__, self).listen(source, timeout)
        print("done listening")

        return result


sr.Recognizer = CustomRecognizer
sr.Microphone = CustomSource

while True:

    while True:
        try:

            r = sr.Recognizer()
            with sr.Microphone(chunk_size=512) as source:
                audio = r.listen(source)
            user_input_command = r.recognize_google(audio)
            print(user_input_command)
            if user_input_command == 'hello':
                break
        except:
            continue

    try:
        r = sr.Recognizer()
        with sr.Microphone(chunk_size=512) as source:
            audio = r.listen(source)
        user_input_command = r.recognize_google(audio)
        output = cl.classify(user_input_command)

        if output == g:
            engine.say("hii, i am your personal assistent")
            engine.runAndWait()
        elif output == x:
            print("press q to click")
            print("Camera is about to  open!!!!!")
            time.sleep(1)
            camera()
        elif output:
            sentiment_Analyzer()
        elif output == z:
            word_def_ex()
        elif output == p:
            Video_Search()
        elif output == s:
            Search_Anything()
        elif output == h:
            bot_help()
        elif output == q:
            break
        else:
            print('nothing')
            y = os.system(user_input_command)
            print(y)
            #print("you said:  " + r.recognize_google(audio))

    except:
        os.system('echo " this is not a command,try again" | festival --tts')