ChatBot/SlackIntegratedBot at master · mukesh210/ChatBot · GitHub

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from chatterbot import ChatBot
from chatterbot.trainers import ListTrainer
import speech_recognition as sr
from slackclient import SlackClient
import time

#read_only will make sure that bot doesn't learn anything new on it's own
bot = ChatBot('Bot',
              logic_adapters=[
        {
            'import_path': 'chatterbot.logic.BestMatch'
        },
        {
            'import_path': 'chatterbot.logic.LowConfidenceAdapter',
            'threshold': 0.65,
            'default_response': 'I am sorry, but I do not understand.'
        }
    ],
    trainer='chatterbot.trainers.ListTrainer')

slack_token = your slack token
sc = SlackClient(slack_token)

while True:
        r = sr.Recognizer()
        with sr.Microphone() as source:
            print("Say something!")
            #will remove noise which comes when microphone is used
            r.adjust_for_ambient_noise(source)
            audio = r.listen(source)

        # Speech recognition using Google Speech Recognition
        try:
            # for testing purposes, we're just using the default API key
            # to use another API key, use `r.recognize_google(audio, key="GOOGLE_SPEECH_RECOGNITION_API_KEY")`
            # instead of `r.recognize_google(audio)`
            message = r.recognize_google(audio)
            print("You said: " + message)

            if message.lower() != 'bye':
                reply = bot.get_response(message)
                if message == reply or reply=='I am sorry, but I do not understand.':
                     print('Kindly Contact Vidya/Monali for human assistance!!!')
                     sc.api_call(
                                "chat.postMessage",
                                channel="#general",
                                text="Hi Vidya/Monali!!! Please answer following question"
                                )
                     if sc.rtm_connect():
                        while True:
                                result = sc.rtm_read()
                                if(len(result)):
                                        set1 = result[0]
                                        #print(set1)
                                        if(len(set1) and set1["type"]=="message"):
                                                #print("type is : " , type(set1))
                                                response = set1["text"]         #response=<bytecode> message
                                                response = response.split("> ")[1]
                                                print("response is:",response)
                                                bot.train([message,response,])
                                                break
                                #print("result is: " , result)
                                time.sleep(1)
                     else:
                        print("unable to connect to slack chatbot")
                else:
                     print('Chatbot:',reply)
            if message.lower() =='bye':
                print('Chatbot:Bye')
                break
        except sr.UnknownValueError:
            print("Google Speech Recognition could not understand audio")
        except sr.RequestError as e:
            print("Could not request results from Google Speech Recognition service; {0}".format(e))