Building a Virtual Assistant for Raspberry Pi: The practical by Tanay Pant

By Tanay Pant

Build a voice-controlled digital assistant utilizing speech-to-text engines, text-to-speech engines, and dialog modules. This ebook indicates you ways to software the digital assistant to assemble info from the web (weather facts, facts from Wikipedia, facts mining); play song; and take notes. each one bankruptcy covers development a mini project/module to make the digital assistant greater. you are going to boost the software program on Linux or OS X ahead of moving it in your Raspberry Pi, prepared for deploying on your personal home-automation or net of items applications.

Building a digital Assistant for Raspberry Pi walks you thru numerous STTs and TTSs and the implementation of those elements with the aid of Python. After that you'll commence imposing common sense for dealing with person queries and instructions, in order that the person may have conversations with Melissa. you'll then paintings to enhance common sense dealing with to notice what the person desires Melissa to do. additionally, you will paintings on development a few important applications/modules for Melissa, with the intention to let you achieve attention-grabbing details from Melissa akin to the time, climate info, and information from Wikipedia.

You will advance a tune taking part in software in addition to a be aware taking software for Melissa, laying the rules for the way Melissa will be extra prolonged. eventually, you are going to how to installation this software program on your Raspberry Pi and the way you could extra scale Melissa to make her extra clever, interactive and the way you should use her in different initiatives equivalent to domestic automation as well.

What you are going to Learn

  • Design the workflow and notice the options of creating a voice managed assistant
  • Develop modules for having conversations with the assistant
  • Enable the assistant to retrieve info from the internet
  • Build utilities like a tune participant and a observe taking software for the digital assistant
  • Integrate this software program with a Raspberry Pi

Who This booklet Is For

This booklet is for an individual who has outfitted a house automation venture with Raspberry Pi and now are looking to increase it via making it voice-controlled. The e-book might additionally curiosity scholars from laptop technology or comparable disciplines.

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If check_message() returns true, execute the feature. You follow the same methodology to add new features and functionality in future chapters. Let’s look at an example of how you can follow this process to write a new basic feature for Melissa. 28 CHAPTER 3 ■ GETTING YOUR HANDS DIRTY: CONVERSATION MODULE What’s the Time, Melissa? Let’s write a new module for telling the time. It will allow you to ask Melissa the time whenever you want. now() in the tts function, in the what_is_time() function.

Time to Sleep, Melissa! Let’s write a short module to shut down the software and ask Melissa to sleep. tts import tts def go_to_sleep(): tts('Goodbye! ” will shut down the software and exit from the Python script. You should commit your code after building a feature or completing the lessons in any chapter. This will help you to go back to your previous state (the last time you committed) if you accidently delete something or mess something up. You can go back to the previously committed state by entering the following command on your terminal: $ git reset --hard 41 CHAPTER 4 ■ USING THE INTERNET TO GATHER INFORMATION Trust me, this command has saved my life many more times than I can remember.

Then you integrated this code into Melissa so that she can listen as well as talk. Finally, you version-controlled your source code so that you can share your code on GitHub. In the next chapter, you learn about building the third component of a virtual assistant: the logic engine to make Melissa smarter. You build a conversation module so you can converse with Melissa. 19 CHAPTER 3 Getting Your Hands Dirty: Conversation Module In this chapter, you learn how to implement a conversation module to make Melissa understand what you are saying, with the help of a Python program that implements keyword-recognition techniques.

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