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

By Tanay Pant

Construct a voice-controlled digital assistant utilizing speech-to-text engines, text-to-speech engines, and dialog modules. This ebook indicates you the way to software the digital assistant to assemble information from the web (weather info, facts from Wikipedia, info mining); play tune; and take notes. each one bankruptcy covers construction a mini project/module to make the digital assistant greater. you will enhance the software program on Linux or OS X prior to 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 quite a few STTs and TTSs and the implementation of those parts with assistance from Python. After that you're going to commence enforcing good judgment for dealing with consumer queries and instructions, in order that the consumer could have conversations with Melissa. you are going to then paintings to enhance common sense dealing with to discover what the consumer wishes Melissa to do. additionally, you will paintings on construction a few helpful applications/modules for Melissa, with a view to let you achieve attention-grabbing info from Melissa equivalent to the time, climate details, and information from Wikipedia.

You will improve a song enjoying software in addition to a notice taking program for Melissa, laying the rules for a way Melissa could be extra prolonged. ultimately, you are going to the way to install 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 comparable 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 track participant and a be aware taking program for the digital assistant
  • Integrate this software program with a Raspberry Pi

Who This ebook Is For

Anyone who has equipped a house automation venture with Raspberry Pi and now are looking to increase it through making it voice-controlled. The e-book might additionally curiosity scholars from desktop technology or similar disciplines.

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Building the Music Module Let’s get to the task of programming the flowchart just discussed. yaml file: music_path: . py. py. mp3gen(music_path) Finally, edit the brain() function to look like the following: brain(name, speech_text, music_path, city_name, city_code, proxy_username, proxy_password) It’s time to program the module itself! lower())) return music_list def music_player(file_name): """ This function takes the name of a music file as an argument and plays it depending on the OS. join(words_of_message) music_listing = mp3gen(music_path) for i in range(0, len(music_listing)): if cleaned_message in music_listing[i]: music_player(music_listing[i]) Starting from the beginning, you import the built-in os, sys, and random.

For example, you can automate logging in to a web site like Facebook so that when you give the command to Melissa, she opens a browser, opens the web site, and then logs in to the web site using your credentials. Some Internet connections need the user to log in to proxy portals, also known as captive portals, to access the Internet. You can also automate this type of login. Let’s write a module for performing this functionality. yaml file: proxy_username: Something proxy_password: Something I would like to point out that saving passwords in plaintext and in publicly accessible files is a very bad idea.

Safe_load() function to load data from the file and save it to profile_data. You then close the file you opened. You can retrieve the data in the form of profile_data['name'] and assign it to appropriate variables for use in the future. tts to include a welcome note for the user. yaml file, it uses their name in the welcome note. The entire STT is placed in a function called main, and that function is called at the end of the code. This completes your construction of two out of three components of the virtual assistant.

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