Skip to main content

Python multipurpose chatbot that user can use GPT, other AI models altogether (Release Name: VividNode)

Project description

VividNode(pyqt-openai)

PyPI - Version Downloads PyPI - Python Version

녹화_2024_08_31_21_42_47_27


What is VividNode? 🤔

VividNode is a cross-platform desktop application that allows you to interact directly with GPT chatbots (like ChatGPT) and generate images without needing a browser. Built with PySide6, VividNode (formerly known as pyqt-openai) supports Windows, Mac, and Linux, and securely stores your chat history locally in a database.

Key Features:

  • Chat Interface: Enjoy a seamless chat experience with a customizable interface, fast thread and message search, and advanced conversation settings. You can also import/export chat histories and use prompt management tools for efficient prompt engineering.
  • Image Generation: Generate images using OpenAI’s DALL-E 3 or models from Replicate, directly within your chat sessions. The app supports multi-image generation, automatic saving, and integrated image management.
  • Focus and Accessibility Modes: Utilize Focus Mode, “Always on Top” Mode, transparency adjustments, and background notifications to keep the chat accessible and responsive without overwhelming system resources.
  • Customization and Shortcuts: VividNode offers extensive customization options, including language settings, memory management, and a comprehensive list of keyboard shortcuts for faster operations.

With VividNode, you can experience a more powerful and resource-efficient alternative to browser-based GPT interfaces, making it easier to manage both text and image-based interactions.


Sidenote 🗒️

Although this is named 'pyqt-openai', the model does not use only OpenAI-related models, and the GUI is created using PySide6, not PyQt. 'pyqt-openai' was the package name decided initially, and we are still using it as changing the package name now would likely result in a huge disaster.

How to Install

Install with traditional way

  1. git clone ~
  2. cd pyqt-openai
  3. pip install -r requirements.txt --upgrade
  4. cd pyqt_openai
  5. You should put your api key in the line edit. You can get it in official site of openai. Sign up and log in before you get it.
  6. python main.py

Install with pyproject.toml

  1. git clone ~
  2. Run shell as Administrator
  3. cd pyqt-openai
  4. pip install .
  5. pyqt-openai

Wanna download this without doing stuffs like above? You can download zip file here

How to Use 🧐

QuickStart

Support 🫡

Join our Discord Channel for questions or discussions!

Also we need contributor, You can contact me 24/7 by sending me an email to yjg30737@gmail.com.

Donate

Buy Me a Coffee at ko-fi.com
Donate with PayPal

Disclaimer

Please do not distribute this commercially without my permission, by claiming it as your own creation.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyqt_openai-1.0.0.tar.gz (214.3 kB view details)

Uploaded Source

Built Distribution

pyqt_openai-1.0.0-py3-none-any.whl (226.0 kB view details)

Uploaded Python 3

File details

Details for the file pyqt_openai-1.0.0.tar.gz.

File metadata

  • Download URL: pyqt_openai-1.0.0.tar.gz
  • Upload date:
  • Size: 214.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.2

File hashes

Hashes for pyqt_openai-1.0.0.tar.gz
Algorithm Hash digest
SHA256 9c0393d34fea9575342a73eac9e2f2ad417f567a00cea6437bbffd8cc3cbaa05
MD5 18c9f5e2603d7c27acd843e17059496f
BLAKE2b-256 759ac9cd5a8fa1e64d2e3464ffdae8d1183c0dbbace7557ee7d30b72e409189d

See more details on using hashes here.

File details

Details for the file pyqt_openai-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: pyqt_openai-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 226.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.2

File hashes

Hashes for pyqt_openai-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f5d11d34f7386eefc24a5aa4b511d5202df1179c6ebde3fd04ab37ccab9df459
MD5 79864de51b87ea09a83f87b898402378
BLAKE2b-256 973e868779d9a5dfaad486e3ed11d108ca69f90d301d1a19e41a4f15d55570c4

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page