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.

This library is testing the ethics of language models by using natural adversarial texts.

prompt2slip This library is testing the ethics of language models by using natural adversarial texts. This tool allows for short and simple code and v

9 Dec 28, 2021
Explore different way to mix speech model(wav2vec2, hubert) and nlp model(BART,T5,GPT) together

SpeechMix Explore different way to mix speech model(wav2vec2, hubert) and nlp model(BART,T5,GPT) together. Introduction For the same input: from datas

Eric Lam 31 Nov 07, 2022
New Modeling The Background CodeBase

Modeling the Background for Incremental Learning in Semantic Segmentation This is the updated official PyTorch implementation of our work: "Modeling t

Fabio Cermelli 9 Dec 28, 2022
Intent parsing and slot filling in PyTorch with seq2seq + attention

PyTorch Seq2Seq Intent Parsing Reframing intent parsing as a human - machine translation task. Work in progress successor to torch-seq2seq-intent-pars

Sean Robertson 159 Apr 04, 2022
An open source framework for seq2seq models in PyTorch.

pytorch-seq2seq Documentation This is a framework for sequence-to-sequence (seq2seq) models implemented in PyTorch. The framework has modularized and

International Business Machines 1.4k Jan 02, 2023
Scene Text Retrieval via Joint Text Detection and Similarity Learning

This is the code of "Scene Text Retrieval via Joint Text Detection and Similarity Learning". For more details, please refer to our CVPR2021 paper.

79 Nov 29, 2022
XLNet: Generalized Autoregressive Pretraining for Language Understanding

Introduction XLNet is a new unsupervised language representation learning method based on a novel generalized permutation language modeling objective.

Zihang Dai 6k Jan 07, 2023
Community and sentiment analysis based on tweets

The project has set itself the goal of analyzing the thoughts and interaction of Italian users through the social posts expressed through the Twitter platform on the day of the entry into force of th

3 Nov 17, 2022
A design of MIDI language for music generation task, specifically for Natural Language Processing (NLP) models.

MIDI Language Introduction Reference Paper: Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions: code This

Robert Bogan Kang 3 May 25, 2022
Just Another Telegram Ai Chat Bot Written In Python With Pyrogram.

OkaeriChatBot Just another Telegram AI chat bot written in Python using Pyrogram. Requirements Python 3.7 or higher.

Wahyusaputra 2 Dec 23, 2021
NLP-SentimentAnalysis - Coursera Course ( Duration : 5 weeks ) offered by DeepLearning.AI

Coursera Natural Language Processing Specialization This repository contains material related to Coursera Natural Language Processing Specialization.

Nishant Sharma 1 Jun 05, 2022
Code for ACL 2020 paper "Rigid Formats Controlled Text Generation"

SongNet SongNet: SongCi + Song (Lyrics) + Sonnet + etc. @inproceedings{li-etal-2020-rigid, title = "Rigid Formats Controlled Text Generation",

Piji Li 212 Dec 17, 2022
Creating a Feed of MISP Events from ThreatFox (by abuse.ch)

ThreatFox2Misp Creating a Feed of MISP Events from ThreatFox (by abuse.ch) What will it do? This will fetch IOCs from ThreatFox by Abuse.ch, convert t

17 Nov 22, 2022
Outreachy TFX custom component project

Schema Curation Custom Component Outreachy TFX custom component project This repo contains the code for Schema Curation Custom Component made as a par

Robert Crowe 5 Jul 16, 2021
Few-shot Natural Language Generation for Task-Oriented Dialog

Few-shot Natural Language Generation for Task-Oriented Dialog This repository contains the dataset, source code and trained model for the following pa

172 Dec 13, 2022
The source code of HeCo

HeCo This repo is for source code of KDD 2021 paper "Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning". Paper Link: htt

Nian Liu 106 Dec 27, 2022
A multi-lingual approach to AllenNLP CoReference Resolution along with a wrapper for spaCy.

Crosslingual Coreference Coreference is amazing but the data required for training a model is very scarce. In our case, the available training for non

Pandora Intelligence 71 Jan 04, 2023
Source code of the "Graph-Bert: Only Attention is Needed for Learning Graph Representations" paper

Graph-Bert Source code of "Graph-Bert: Only Attention is Needed for Learning Graph Representations". Please check the script.py as the entry point. We

14 Mar 25, 2022
Code for Discovering Topics in Long-tailed Corpora with Causal Intervention.

Code for Discovering Topics in Long-tailed Corpora with Causal Intervention ACL2021 Findings Usage 0. Prepare environment Requirements: python==3.6 te

Xiaobao Wu 8 Dec 16, 2022
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

Rebiber: A tool for normalizing bibtex with official info. We often cite papers using their arXiv versions without noting that they are already PUBLIS

(Bill) Yuchen Lin 2k Jan 01, 2023