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digital-assistant's Introduction

digital-assistant

emma.png

Purpose summary:

This particular project known as Extension Management Machine Assistant(E.M.M.A.) is mostly a learning experience in using various different libraries to develop a digital assistant that can do various tasks for the user, similar to Alexa, Siri, and Google Home. While this is a very early iteration, it has a wide array of functionalities from doing searches on the internet to playing music for the user. There will be future iterations of this project.

How to run this project:

To run this project, simply type in the terminal: python speech.py and this project is currently running under python 3.7

Additional Note:

In the configuration file under config.py please add in the details of the following:

  • WOLFRAM_ID: YOUR WOLFRAM API KEY
  • username: your email
  • password: your email password
  • code: /path/to/your/code_editor
  • play_directory: /path/to/your/music_file
  • root_user: your name
  • chat_log: if you plan on using rainmeter it would be /path/to/your/chat_log/chat.txt
  • shutdown: path/to/your/sound_file/shutdown.wav

Additional change to be done is under this function: def on_startup_sound the variable for the interface sound needs to be changed to match where your path to the sound_file is similar to shutdown.

The GUI used for twitch and instagram user search

The GUI library is from PySimpleGui

Interface Development:

The development of the interface that I found appealing was to use a rainmeter skin interface to display the information of what the digital assistant was presenting whenever a query was answered. Essentially, I combined python with a fairly simple .ini script and had it be displayed there. Rainmeter needs to be installed to display this type of UI setup.Below is the current interface.

emma-interface.png

Demonstration of the digital-assistant:E.M.M.A.

Soon:tm:

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