AI_Assistant - This is a Python based Voice Assistant.

Overview

AI_Assistant

This is a Python based Voice Assistant. This was programmed to increase my understanding of python and also how the in-general Voice Assistants work.

                                                 AI_Assistant

                                                version 0.0.0

Hello Guys!!

This is a cross-platform program, however "THIS PROGRAM IS CURRENTLY DEVELOPED TO WORK ONLY FOR WINDOWS AND macOS AND NOT FOR ANY LINUX DISTROS."

Before starting to tell you about my Assistant, I would quickly like to go over some IMPORTANT POINTS which I think every user should know. This would avoid the users from encountering any errors, and if they do, they would know where the problem is.

  • Firstly, install all the required packages to ensure smooth functioning of the entire program and its utilities. This program has several dependencies, which can be seen in the requirements.txt

    • You can do install the program's dependencies by "pip install -r requirements.txt". You can use pip or pip3, doesn't matter. The command is the same for both platforms (Windows or macOS).

    • Run this command in the "AI_Assistant" directory in the command prompt to avoid FileNotFound Error.

    • Wait for the packages to get installed and if there is any error in the installation of the package, you can either google or raise a query.

  • This program uses the populer pyttsx3 for text to speech conversion. I have set the Voice ID of the assistant in accordance to the voices available on my personal computer. However the "id" may vary on your computer, which is why I have programmed "Try_Voices.py" with which you can try each and every voice available on your device. Usage has been demonstrated below:

    1. Find the "Try_Voices.py" file in the Installer folder.
    2. Run this program with "python Try_Voices.py" on Windows and "python3 Try_Voices.py" on macOS.
    3. This is used to speak out the Pre-Determined Line in all the available voices.
    4. You can see the voice id and its index (which will be used in the main program).
    5. Note the index of the voice you like and replace that in "line 17" "self.engine.setProperty('voice', voices[3].id)" Change the "3" to the index of your choice of voice.

    In-Case you don't like the voices available on your device, you can add more. Visit the below-mentioned link to get to know the step-by-step process of the same.

    "https://puneet166.medium.com/how-to-added-more-speakers-and-voices-in-pyttsx3-offline-text-to-speech-812c83d14c13"

    Finally, I'm providing a link to an article where you can better understand the use and initial setup of pyttsx3.

    https://betterprogramming.pub/an-introduction-to-pyttsx3-a-text-to-speech-converter-for-python-4a7e1ce825c3

  • Although this program uses the offline google speech recognition, it requires an Active Internet Connection for various features at all times so that the program can work smoothly.

  • If you want to change the initiating audio, then you can either add the audio file to the "Utilities" folder and rename it to "Initial_Audio.mp3" or you can edit the "Asssistant.py" at line 624: playsound.playsound("location of the audio file").

  • There are a few features like weather report and wolframalpha which requires personal API keys. You need to visit these sites, and get your own API key from these websites, and then replace them in the source files.

    Use any text editor or IDE of your choice.

    • Edit the "src/Tools.py" file

      line 46: self.API_KEY = "Your API Key"

    • Edit the "Assistant.py" file

      line 529: app_id = "Your APP ID"

    Not performing this step would not cause problem in the running of the Assistant but will return an error when the user tries to use any of the feature requiring an online API key.

  • Lastly, there are some features like blocking a website, shutting down and restarting the device which can only be performed when the program is run with elevated privileges.

With this out of the way, let me tell you about some features of the program. I have tried to add all the basic functions in this program and all the features can be seen in the main screen of the program at all times.

This program can perform the following functions:

          * Interact to some extent					  * Can open websites
          * Open gmail, google search and YouTube			  * Autoplay song on YouTube using Keyword
          * Download Youtube Video with Keyword or Video link	  * Hand-Cricket Game
          * Number Guessing Game					  * Can Shut down and Restart The Device
          * Can Clear Temporary Files				  * Generate QR Code
          * Can help in Converting and Editing a PDF		  * Extract Text from an Image
          * Tell a Joke						  * It can open Instagram and Facebook
          * Tell about the Weather of any place			  * Generate a Password
          * Tell Time						  * Open TOI for top Headlines
          * Take Screenshot						  * Capture a Picture from the Webcam
          * Can redirect you to the Typing Speed Website		  * Test your Internet Speed
          * Tell you the meaning					  * Block / Unblock Websites

As you can see from the features above, this program is equipped with several features to provide convenience to the users. It can open any website from its name, can try to communicate upto a certain limit and help you with basic problems.

One drawback which I feel is that the speechrecognition package takes the input after 4-5 Seconds of delay, so please be sure that the program is listening to the command when you are speaking.

For any suggestion, bugs or improvements, please feel me mail me at "[email protected]" or feel free to comment below.

Contains analysis of trends from Fitbit Dataset (source: Kaggle) to see how the trends can be applied to Bellabeat customers and Bellabeat products

Contains analysis of trends from Fitbit Dataset (source: Kaggle) to see how the trends can be applied to Bellabeat customers and Bellabeat products.

Leah Pathan Khan 2 Jan 12, 2022
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.

CTC Decoding Algorithms Update 2021: installable Python package Python implementation of some common Connectionist Temporal Classification (CTC) decod

Harald Scheidl 736 Jan 03, 2023
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

Poincaré Embeddings for Learning Hierarchical Representations PyTorch implementation of Poincaré Embeddings for Learning Hierarchical Representations

Facebook Research 1.6k Dec 29, 2022
Kestrel Threat Hunting Language

Kestrel Threat Hunting Language What is Kestrel? Why we need it? How to hunt with XDR support? What is the science behind it? You can find all the ans

Open Cybersecurity Alliance 201 Dec 16, 2022
DiY Oxygen Concentrator based on the OxiKit

M19O2 DiY Oxygen Concentrator based on / inspired by the OxiKit, OpenOx, Marut, RepRap and Project Apollo platforms. About Read about the project on H

Maker's Asylum 62 Dec 22, 2022
Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.

TextDistance TextDistance -- python library for comparing distance between two or more sequences by many algorithms. Features: 30+ algorithms Pure pyt

Life4 3k Jan 06, 2023
Minimal GUI for accessing the Watson Text to Speech service.

Description Minimal graphical application for accessing the Watson Text to Speech service. Requirements Python 3 plus all dependencies listed in requi

Moritz Maxeiner 1 Oct 22, 2021
Code for Emergent Translation in Multi-Agent Communication

Emergent Translation in Multi-Agent Communication PyTorch implementation of the models described in the paper Emergent Translation in Multi-Agent Comm

Facebook Research 75 Jul 15, 2022
pytorch implementation of Attention is all you need

A Pytorch Implementation of the Transformer: Attention Is All You Need Our implementation is largely based on Tensorflow implementation Requirements N

230 Dec 07, 2022
Yuqing Xie 2 Feb 17, 2022
Twitter-NLP-Analysis - Twitter Natural Language Processing Analysis

Twitter-NLP-Analysis Business Problem I got last @turk_politika 3000 tweets with

Çağrı Karadeniz 7 Mar 12, 2022
An open source library for deep learning end-to-end dialog systems and chatbots.

DeepPavlov is an open-source conversational AI library built on TensorFlow, Keras and PyTorch. DeepPavlov is designed for development of production re

Neural Networks and Deep Learning lab, MIPT 6k Dec 30, 2022
CYGNUS, the Cynical AI, combines snarky responses with uncanny aggression.

New & (hopefully) Improved CYGNUS with several API updates, user updates, and online/offline operations added!!!

Simran Farrukh 0 Mar 28, 2022
Ongoing research training transformer language models at scale, including: BERT & GPT-2

What is this fork of Megatron-LM and Megatron-DeepSpeed This is a detached fork of https://github.com/microsoft/Megatron-DeepSpeed, which in itself is

BigScience Workshop 316 Jan 03, 2023
Write Alphabet, Words and Sentences with your eyes.

The-Next-Gen-AI-Eye-Writer The Eye tracking Technique has become one of the most popular techniques within the human and computer interaction era, thi

Rohan Kasabe 2 Apr 05, 2022
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers

PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers

Microsoft 105 Jan 08, 2022
Text to speech for Vietnamese, ez to use, ez to update

Chào mọi người, đây là dự án mở nhằm giúp việc đọc được trở nên dễ dàng hơn. Rất cảm ơn đội ngũ Zalo đã cung cấp hạ tầng để mình có thể tạo ra app này

Trần Cao Minh Bách 32 Jul 29, 2022
A versatile token stream for handwritten parsers.

Writing recursive-descent parsers by hand can be quite elegant but it's often a bit more verbose than expected, especially when it comes to handling indentation and reporting proper syntax errors. Th

Valentin Berlier 8 Nov 30, 2022
Scikit-learn style model finetuning for NLP

Scikit-learn style model finetuning for NLP Finetune is a library that allows users to leverage state-of-the-art pretrained NLP models for a wide vari

indico 665 Dec 17, 2022
This is Assignment1 code for the Web Data Processing System.

This is a Python program to Entity Linking by processing WARC files. We recognize entities from web pages and link them to a Knowledge Base(Wikidata).

3 Dec 04, 2022