voicegpt

This is a python file allowing you to talk with chatgpt, using bark, whisper and chatgptAPI

Configure the environment

We highly recommend you deploy the new project in a brand-new virtual environment. let’s say, name of the new environment below is voicegpt:

conda create -n voicegpt

conda activate voicegpt

Fork and access the project file:

git clone git@github.com:ch4r1ty/voicegpt.git

cd voicegpt

Installation

Based on whisper and bark, installing relevant packages is required. You can find more information on their pages:

BASE

whisper

https://github.com/openai/whisper

bark

https://github.com/suno-ai/bark

chatgpt API

https://platform.openai.com/account/api-keys

In short

In short, you have to run these commands for a basic usage:

whisper

pip install -U openai-whisper

# on Ubuntu or Debian
sudo apt update && sudo apt install ffmpeg

# on Arch Linux
sudo pacman -S ffmpeg

# on MacOS using Homebrew (https://brew.sh/)
brew install ffmpeg

# on Windows using Chocolatey (https://chocolatey.org/)
choco install ffmpeg

# on Windows using Scoop (https://scoop.sh/)
scoop install ffmpeg

pip install setuptools-rust

bark

git clone https://github.com/suno-ai/bark
cd bark && pip install . 

Chatgpt API

You also need an openai key, which you may get for free on this website:

https://platform.openai.com/account/api-keys

Usage

These revise of code are also required:

# chatgpt api

# in "" is your openai api key

openai.api_key = ""

# whisper api

# replace the 'tiny' with different models below

model = whisper.load_model("tiny")
result = model.transcribe("audio.mp3")
print(result["text"])

Size	Parameters	English-only model	Multilingual model	Required VRAM	Relative speed
tiny	39 M	tiny.en	tiny	~1 GB	~32x
base	74 M	base.en	base	~1 GB	~16x
small	244 M	small.en	small	~2 GB	~6x
medium	769 M	medium.en	medium	~5 GB	~2x
large	1550 M	N/A	large	~10 GB	1x