A desktop GUI providing an audio interface for GPT3.

Overview

Jabberwocky

neil_degrasse_tyson_with_audio.mp4

Project Description

This GUI provides an audio interface to GPT-3. My main goal was to provide a convenient way to interact with various experts or public figures: imagine discussing physics with Einstein or hip hop with Kanye (or hip hop with Einstein? 🤔 ). I often find writing and speaking to be wildly different experiences and I imagined the same would be true when interacting with GPT-3. This turned out to be partially true - the default Mac text-to-speech functionality I'm using here is certainly not as lifelike as I'd like. Perhaps more powerful audio generation methods will pop up in a future release...

We also provide Task Mode containing built-in prompts for a number of sample tasks:

  • Summarization
  • Explain like I'm 5
  • Translation
  • How To (step by step instructions for performing everyday tasks)
  • Writing Style Analysis
  • Explain machine learning concepts in simple language
  • Generate ML paper abstracts
  • MMA Fight Analysis and Prediction

Getting Started

  1. Clone the repo.
git clone https://github.com/hdmamin/jabberwocky.git
  1. Install the necessary packages. I recommend using a virtual environment of some kind (virtualenv, conda, etc). If you're not using Mac OS, you could try installing portaudio with whatever package manager you're using, but app behavior on other systems is unknown.
brew install portaudio
pip install -r requirements.txt
python -m nltk.downloader punkt

If you have make installed you can simply use the command:

make install
  1. Add your openai API key somewhere the program can access it. There are two ways to do this:
echo your_openai_api_key > ~/.openai

or

export OPENAI_API_KEY=your_openai_api_key

(Make sure to use your actual key, not the literal text your_openai_api_key.)

  1. Run the app.
python gui/main.py

Or with make:

make run

Usage

Conversation Mode

In conversation mode, you can chat with a number of pre-defined personas or add new ones. New personas can be autogenerated or defined manually.

See data/conversation_personas for examples of autogenerated prompts. You can likely achieve better results using custom prompts though.

Conversation mode only supports spoken input, though you can edit flawed transcriptions manually. Querying GPT-3 with nonsensical or ungrammatical text will negatively affect response quality.

Task Mode

In task mode, you can ask GPT-3 to perform a number pre-defined tasks. Written and spoken input are both supported. By default, GPT-3's response is both typed out and read aloud.

Transcripts of responses from a small subset of non-conversation tasks can be found in the data/completions directory. You can also save your own completions while using the app.

Usage Notes

The first time you speak, the speech transcription back end will take a few seconds to calibrate to the level of ambient noise in your environment. You will know it's ready for transcription when you see a "Listening..." message appear below the Record button. Calibration only occurs once to save time.

Hotkeys

CTRL + SHIFT: Start recording audio (same as pressing the "Record" button).
CTRL + a: Get GPT-3's response to whatever input you've recorded (same as pressing the "Get Response" button).

Project Members

  • Harrison Mamin

Repo Structure

jabberwocky/
├── data         # Raw and processed data. Some files are excluded from github but the ones needed to run the app are there.
├── notes        # Miscellaneous notes from the development process stored as raw text files.
├── notebooks    # Jupyter notebooks for experimentation and exploratory analysis.
├── reports      # Markdown reports (performance reports, blog posts, etc.)
├── gui          # GUI scripts. The main script should be run from the project root directory. 
└── lib          # Python package. Code can be imported in analysis notebooks, py scripts, etc.

The docker and setup dirs contain remnants from previous attempts to package the app. While I ultimately decided to go with a simpler approach, I left them in the repo so I have the option of picking up where I left off if I decide to work on a new version.

Owner
Data Scientist
Final Project Bootcamp Zero

The Quest (Pygame) Descripción Este es el repositorio de código The-Quest para el proyecto final Bootcamp Zero de KeepCoding. El juego consiste en la

Seven-z01 1 Mar 02, 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
Implementation of TTS with combination of Tacotron2 and HiFi-GAN

Tacotron2-HiFiGAN-master Implementation of TTS with combination of Tacotron2 and HiFi-GAN for Mandarin TTS. Inference In order to inference, we need t

SunLu Z 7 Nov 11, 2022
ACL22 paper: Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost

Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost LOVE is accpeted by ACL22 main conference as a long pape

Lihu Chen 32 Jan 03, 2023
Word2Wave: a framework for generating short audio samples from a text prompt using WaveGAN and COALA.

Word2Wave is a simple method for text-controlled GAN audio generation. You can either follow the setup instructions below and use the source code and CLI provided in this repo or you can have a play

Ilaria Manco 91 Dec 23, 2022
Fine-tune GPT-3 with a Google Chat conversation history

Google Chat GPT-3 This repo will help you fine-tune GPT-3 with a Google Chat conversation history. The trained model will be able to converse as one o

Nate Baer 7 Dec 10, 2022
The ability of computer software to identify words and phrases in spoken language and convert them to human-readable text

speech-recognition-py Speech recognition is the ability of computer software to identify words and phrases in spoken language and convert them to huma

Deepangshi 1 Apr 03, 2022
Open-source offline translation library written in Python. Uses OpenNMT for translations

Open source neural machine translation in Python. Designed to be used either as a Python library or desktop application. Uses OpenNMT for translations and PyQt for GUI.

Argos Open Tech 1.6k Jan 01, 2023
2021搜狐校园文本匹配算法大赛baseline

sohu2021-baseline 2021搜狐校园文本匹配算法大赛baseline 简介 分享了一个搜狐文本匹配的baseline,主要是通过条件LayerNorm来增加模型的多样性,以实现同一模型处理不同类型的数据、形成不同输出的目的。 线下验证集F1约0.74,线上测试集F1约0.73。

苏剑林(Jianlin Su) 45 Sep 06, 2022
Sequence Modeling with Structured State Spaces

Structured State Spaces for Sequence Modeling This repository provides implementations and experiments for the following papers. S4 Efficiently Modeli

HazyResearch 902 Jan 06, 2023
GPT-3 command line interaction

Writer_unblock Straight-forward command line interfacing with GPT-3. Finding yourself stuck at a conceptual stage? Spinning your wheels needlessly on

Seth Nuzum 6 Feb 10, 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
WikiPron - a command-line tool and Python API for mining multilingual pronunciation data from Wiktionary

WikiPron WikiPron is a command-line tool and Python API for mining multilingual pronunciation data from Wiktionary, as well as a database of pronuncia

213 Jan 01, 2023
Chinese Named Entity Recognization (BiLSTM with PyTorch)

BiLSTM-CRF for Name Entity Recognition PyTorch version A PyTorch implemention of Bi-LSTM-CRF model for Chinese Named Entity Recognition. 使用 PyTorch 实现

5 Jun 01, 2022
Repository for Project Insight: NLP as a Service

Project Insight NLP as a Service Contents Introduction Features Installation Setup and Documentation Project Details Demonstration Directory Details H

Abhishek Kumar Mishra 286 Dec 06, 2022
Creating an LSTM model to generate music

Music-Generation Creating an LSTM model to generate music music-generator Used to create basic sin wave sounds music-ai Contains the functions to conv

Jerin Joseph 2 Dec 02, 2021
Question answering app is used to answer for a user given question from user given text.

Question answering app is used to answer for a user given question from user given text.It is created using HuggingFace's transformer pipeline and streamlit python packages.

Siva Prakash 3 Apr 05, 2022
Code to use Augmented Shapiro Wilks Stopping, as well as code for the paper "Statistically Signifigant Stopping of Neural Network Training"

This codebase is being actively maintained, please create and issue if you have issues using it Basics All data files are included under losses and ea

Justin Terry 32 Nov 09, 2021
A Telegram bot to add notes to Flomo.

flomo bot 使用 Telegram 机器人发送笔记到你的 Flomo. 你需要有一台可访问 Telegram 的服务器。 Steps @BotFather 新建机器人,获取 token Flomo 官网获取 API,链接 https://flomoapp.com/mine?source=in

Zhen 44 Dec 30, 2022