GitHub - zhengxinghua1101/VoiceBotMasters: import datetime import speech_recognition as sr import random from gtts import gTTS import os import time from mutagen.mp3 import MP3 import eel eel.init('web') greetings = ['hey there', 'hello', 'hi', 'Hai', 'hey!', 'hey'] question = ['how are you', 'how are you doing'] responses = ['Okay just tired of life', "I'm fine thank you"] q = ['do you love me'] love = ['Kien love you from the bottom of his heart'] old = ['how old are you'] var = ['Old enough to be by your side'] var1 = ['who made you', 'who created you'] var2 = ['I was created by Kien right in his computer.', 'Phan Sy Kien', 'Some guy whom i never got to know.'] var3 = ['what time is it', 'what is the time', 'time'] var4 = ['who are you', 'what is your name'] cmd1 = ['open browser', 'open google'] cmd3 = ['tell a joke', 'tell me a joke', 'say something funny', 'tell something funny'] jokes = ['Can a kangaroo jump higher than a house? Of course, a house doesnt jump at all.', 'My dog used to chase people on a bike a lot. It got so bad, finally I had to take his bike away.', 'Doctor: Im sorry but you suffer from a terminal illness and have only 10 to live.Patient: What do you mean, 10? 10 what? Months? Weeks?!"Doctor Nine.'] cmd9 = ['thank you'] repfr9 = ['youre welcome', 'glad i could help you'] muQues1 = ['tell me about a famous person in the music world'] muQues2 = ['can you give me more information', 'where does she live'] muQues3 = ['what is her style in music'] muQues4 = ['what are the achievements that she has achieved', 'what have Taylor accomplished'] spQues1 = ['tell me about a famous person in the sport world'] spQues2 = ['can you give me more information?', 'Where does he live'] spQues3 = ['which club did he played for'] spQues4 = ['what are the achievements that he has achieved'] muAns1= ['a famous person i wanna talk to you is taylor swift'] muAns2 = ['of course. taylor alison swift was born on december 13, 1989, in reading, pennsylvania, she is an american singer-songwriter'] muAns3 = ['she is known for narrative songs about her personal life, which have received widespread media coverage'] muAns4 = ['she has released a series of famous albums such as: lover, reputation, 1989, red, fearless, speak now, more ,and many songs have billion views like: you belong to me, blank space, shake it off'] spAns1 = ['a famous person i wanna talk to you is lionel messi'] spAns2 = ['lionel andres messi cuccittini was born on june 24, 1987, in rosario, argentina, is an argentine professional footballer'] spAns3 = ['he plays as a forward and captains both spanish club barcelona and the argentina national team'] spAns4 = ['often considered the best player in the world and widely regarded as one of the greatest players of all time, messi has won a record six golden ball awards, and a record six european golden shoes'] @eel.expose def recognize_speech_from_mic(recognizer, microphone): """Transcribe speech from recorded from `microphone`. Returns a dictionary with three keys: "success": a boolean indicating whether or not the API request was successful "error": `None` if no error occured, otherwise a string containing an error message if the API could not be reached or speech was unrecognizable "transcription": `None` if speech could not be transcribed, otherwise a string containing the transcribed text """ # check that recognizer and microphone arguments are appropriate type if not isinstance(recognizer, sr.Recognizer): raise TypeError("`recognizer` must be `Recognizer` instance") if not isinstance(microphone, sr.Microphone): raise TypeError("`microphone` must be `Microphone` instance") # adjust the recognizer sensitivity to ambient noise and record audio # from the microphone with microphone as source: recognizer.adjust_for_ambient_noise(source) # # analyze the audio source for 1 second audio = recognizer.listen(source) # set up the response object response = { "success": True, "error": None, "transcription": None, "reply": None } # try recognizing the speech in the recording # if a RequestError or UnknownValueError exception is caught, # update the response object accordingly try: response["transcription"] = recognizer.recognize_google(audio) now = datetime.datetime.now() if response["transcription"] in greetings: response["reply"] = random.choice(greetings) elif response["transcription"] in question: response["reply"] = random.choice(responses) elif response["transcription"] in var1: response["reply"] = random.choice(var2) elif response["transcription"] in var3: response["reply"] = now.strftime("The time is %H:%M") elif response["transcription"] in cmd3: response["reply"] = random.choice(jokes) elif response["transcription"] in cmd3: response["reply"] = random.choice(jokes) elif response["transcription"] in old: response["reply"] = random.choice(var) elif response["transcription"] in muQues1: response["reply"] = random.choice(muAns1) elif response["transcription"] in muQues2: response["reply"] = random.choice(muAns2) elif response["transcription"] in muQues3: response["reply"] = random.choice(muAns3) elif response["transcription"] in muQues4: response["reply"] = random.choice(muAns4) elif response["transcription"] in spQues1: response["reply"] = random.choice(spAns1) elif response["transcription"] in spQues2: response["reply"] = random.choice(spAns2) elif response["transcription"] in spQues3: response["reply"] = random.choice(spAns3) elif response["transcription"] in spQues4: response["reply"] = random.choice(spAns4) except sr.RequestError: # API was unreachable or unresponsive response["success"] = False response["error"] = "API unavailable/unresponsive" except sr.UnknownValueError: # speech was unintelligible response["error"] = "Unable to recognize speech" return response voice = eel.male() if voice== None: voice = "male" @eel.expose def textToSpeech(mytext, voice): if(voice == "female"): language = 'en' myobj = gTTS(text=mytext, lang=language, slow=False) myobj.save("welcome.mp3") audio = MP3("welcome.mp3") os.system("start welcome.mp3") time.sleep(audio.info.length) else: import pyttsx engine = pyttsx.init() engine.say(mytext) engine.runAndWait() @eel.expose def controller(): recognizer = sr.Recognizer() mic = sr.Microphone(device_index=1) response = recognize_speech_from_mic(recognizer, mic) if response["transcription"]!= None: eel.input(response["transcription"]) print('\nSuccess : {}\nError : {}\n\nText from Speech\n{}\n\n{}' \ .format(response['success'], response['error'], '-' * 17, response['transcription'], response)) print (response["reply"]) if response["reply"] != None: eel.reply(response["reply"]) eel.male(response["reply"]) elif response["transcription"] != None: eel.reply("Sorry i don't know how to response to that") eel.male("Sorry i don't know how to response to that") eel.start('UI.html')

zhengxinghua1101 / VoiceBotMasters Public

forked from kienps308/VoiceBotMasters

import datetime import speech_recognition as sr import random from gtts import gTTS import os import time from mutagen.mp3 import MP3 import eel eel.init('web') greetings = ['hey there', 'hello', 'hi', 'Hai', 'hey!', 'hey'] question = ['how are you', 'how are you doing'] responses = ['Okay just tired of life', "I'm fine thank you"] q = ['do you…