Watch demo :  ​Meow!​

What is it?

The GitHub repository titled "ChatGPT Python Applications" is a comprehensive collection of Python applications built around the ChatGPT language model. This repository contains multiple standalone applications, each demonstrating different use cases and applications of the ChatGPT model.

The applications in this repository are designed to showcase the versatility and power of ChatGPT in various contexts, from simple chatbots to more advanced natural language processing applications. Each application is well documented, providing a clear understanding of its functionality, how it works, and how it can be integrated into other projects. All applications are written in Python, with a clear structure and code that is easy to understand and modify. The repository is also open-source, so users can contribute to the project, submit bug reports, and suggest improvements.

Overall, the "ChatGPT Python Applications" repository is a valuable resource for developers looking to integrate ChatGPT into their projects or explore the potential of natural language processing with Python.

Author : @xiaowuc2

I am a Machine Learning Researcher, currently working in IBM with expertise in solving real-world problems through coding. Taught 20,000+ students & working professionals to crack coding interviews and land their dream job TCS, Walmart, Accenture, Cognizant. My research has been recognized through publications in esteemed journals such as Springer¹ and O'Reilly².

• computational-thinking : python : My Python course to crack coding interviews (LeetCode). (Recorded / 1:1)
• @qxresearch : Videos all about mathematics combined with coding and machine learning.
• Let's Have an intellectual conversation : rohitmandal814566@gmail.com
• Follow me in github for new project : python, machine learning and DSA (coding interview)

Setup

Refer to this setup video to install the dependencies and generate OpenAI keys and incorporate with our applications. I've articulated the steps in text format here :

• Star this repository (top-right corner)

• Install the dependencies following these steps :

  • Star this repository (top right corner)
  • <>Code > Download ZIP > Open cmd/terminal in that location
  • Run this command : pip install -r requirements.txt

• Paste your OpenAI API keys in pass.yml file

• To clone the repository use this code in command line

git clone https://github.com/xiaowuc2/ChatGPT-Python-Applications

Applications

Subscribe to the YouTube channel @qxresearch to receive updates on new projects! Which also enables you to join a community of like-minded Python enthusiasts and stay connected with a passionate group of learners and experts

• ✒️ email-automation : Tool to automate automate news briefing and blogging from custom senders (mail)
• ⭐ custom-chatbot : ask chatbot to do custom work on the bases of the task (eg. script writer)
• 📟 whisper-speech-text : OpenAI's anoher API to convert text from audio
• ⚙️ finetuned-gpt : Train chatGPT on your custom data & ask queries from that data
• 💠 voice-assistant : Voice assistant based on ChatGPT and WhisperAPI (Audio input & output)
• 🐻 web-scraping-summarizer : This tool scraping a given website and summarizes the main context.
• ⌚ your-prespective : You can train ChatGPT to perceive things the way you do, and it will imitate you!
• 📖 bhagavad-gita-gpt : A religious book which contains all the answers to find our purpose and to live it fully.
• 🏜 vector-databse : This is how you can send big text files to chatgpt and avoid the token limits

⚠️ Few applications are under development, will upload the codes asap! you can ⭐ this repo / sub to this channel to get the updates.

Contributing

If you would like to contribute more Applications, please follow these guidelines:

1. Fork the repository.
2. Create a new branch with your feature or bug fix.
3. Commit your changes and push to your fork.
4. Create a pull request.
5. Please create a seperate folder with readme.md and updathe the main/readme.md

Footnotes

1. 10Water Content Prediction in Smart Agriculture of Rural India Using CNN and Transfer Learning Approach. Link ↩

2. Variational Autoencoder-Based Imbalanced Alzheimer Detection Using Brain MRI Images. Link ↩