28
Sep 16

AIML + Python + Python Libraries = I can talk with my chatbot

It's been a while...

...and I've recently decided to continue to work with AIML.

Why? Python. My newest programming love. I shunned it at first. I mean... you have to maintain the same amount of spaces?? That seemed ridiculous when I first head about it so many years ago (I'm a very old-school programmer). But I've been forced to use it and now that I have... it's so easy, which translates to the amount of time needed to get something done. Time, these days, is my most precious resource.

Which is why when I had an idea for a chatbot that involved speaking and listening to it, I wondered how easy or difficult it would be to do in python. After a few minutes of Googling, I saw that the three components I needed to make this happen all existed: PyAIML, a speech recognition library, and a text-to-speech library.

How long did it take to put it all together so I could speak to Zoe?

Less than an hour. And it only took that long because I kept getting interrupted by  two impatient guys wondering where dinner was my loving family.

It was so easy, I almost didn't think it was worth blogging about. But I figured that some might need this guide, so here it is. How to talk to your chatbot. All you need is some AIML (version 1.0.1... the PyAIML I'm using doesn't (yet) support AIML 2.).

Install the following:

pip install aiml
pip install SpeechRecognition
pip install PyAudio
pip install pyttsx

A couple notes... first, if you need more help on the PyAIML, look to this very helpful post: http://www.devdungeon.com/content/ai-chat-bot-python-aiml

If you don't already have it, you might nee pywin32 from sourceforge:  https://sourceforge.net/projects/pywin32/

And then here's what you python file looks like with it all put together:

import aiml
import speech_recognition as sr
import pyttsx
import os

# Create the kernel and learn AIML files
kernel = aiml.Kernel()
if os.path.isfile("bot_brain.brn"):
     kernel.bootstrap(brainFile = "bot_brain.brn")
else:
     kernel.bootstrap(learnFiles = "zoe-startup.xml", commands = "load zoe")
     kernel.saveBrain("bot_brain.brn")

# Start the TTS engine
engine = pyttsx.init('sapi5')
voices = engine.getProperty('voices')

# obtain audio from the microphone
r = sr.Recognizer()

# Press CTRL-C to break this loop
while True:
     # obtain audio from microphone
     with sr.Microphone() as source:
         print("Say something!")
         audio = r.listen(source)
     try:
         myinput = r.recognize_google(audio)
     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))

        print "You said: ", myinput
     if myinput == "exit":
         exit()
     # Get Zoe's response
     zoes_response = kernel.respond(myinput)
     print "Zoe said: ", zoes_response
     engine.setProperty('voice',voices[1].id)
     # have Zoe say the response
     engine.say(zoes_response)
     engine.runAndWait()

 

Of course, you'll need your own startup.xml file and corresponding aiml files (refer back to that helpful post I mentioned on PyAIML). And I chose the female voice when I set voices[1].id. On my windows machine, pyttsx only has one male and one female voice to start with.

Happy chatting!

Xkcd captured Python perfectly:  https://xkcd.com/353/

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